.e [MI] intro substantive
.c manual
.t Introduction to multiple-imputation analysis
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics data-sets set-s manage-ment intro-duction mult-iple mult-iply
.k monotone mono-tonic patt-erns bayes-ian mar mcar mnar rubin-s nonrespons-es
.k comp-leted fmi info-rmation frac-tion
.k pool-ing list-wise deletion repeat-ed nonrespons-es
.o @mi intro substantive@

.e [MI] intro
.c manual
.t Introduction to mi
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics data-sets set-s manage-ment intro-duction mult-iple mult-iply
.k rubin-s nonrespons-es comp-leted
.o @mi@

.e [MI] estimation
.c manual
.t Estimation commands for use with mi estimate
.k mi miss-ing value-s imput-ed imput-ations imput-ing num-bers . obs-ervations
.k stat-istics est-imation command-s model-s mult-iple mult-iply
.k mean-s propor-tions ratio-s areg cnsreg binreg glm mvreg rreg truncreg
.k cloglog logis-tic logit probit clogit mlogit mprobit ologit oprobit
.k gnbreg nbreg poisson bsqreg iqreg qreg sqreg total-s est-imates
.k stcox streg stcrreg svy-: survey-s xtreg xt-mixed xt-rc
.k xtlogit xtprobit xtclog-log xtpoisson xt-nbreg xtmelogit xt-mepoisson
.k xtgee reg-ressions total-s
.o @mi estimation@

.e [MI] mi add
.c manual
.t Add imputations from another mi dataset
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k data-sets set-s manage-ment add comb-ine join append mult-iple mult-iply
.o @mi add@

.e [MI] mi append
.c manual
.t Append mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k data-sets set-s manage-ment add comb-ine join append mult-iple mult-iply
.k comb-ining
.o @mi append@

.e [MI] mi convert
.c manual
.t Change style of mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k data-sets set-s manage-ment convert wide mlong flong flongs-ep
.o @mi convert@

.e [MI] mi copy
.c manual
.t Copy mi flongsep data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k data-sets set-s manage-ment copy-ing file-s file-names name-s cp flongs-ep
.o @mi copy@

.e [MI] mi describe
.c manual
.t Describe mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k data-sets set-s manage-ment describ-e descrip-tions query
.o @mi describe@

.e [MI] mi erase
.c manual
.t Erase mi datasets
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k erase rm util-ity delete file-s remov-e mult-iple mult-iply
.o @mi erase@

.e [MI] mi estimate
.c manual
.t Estimation using multiple imputations
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics est-imation est-imate command-s mult-iple mult-iply rubin-s
.k comb-inations rule-s comp-leted data-sets set-s manage-ment
.k fmi info-rmation frac-tion prefix
.k pool-ing monte carlo err-ors within relativ-e between rvi
.o @mi estimate@

.e [MI] mi estimate using
.c manual
.t Estimation using previously saved est. results
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply rubin-s comb-inations rule-s
.k stat-istics est-imation est-imate command-s use using load
.k comp-leted data-sets set-s manage-ment fmi info-rmation frac-tion
.k pool-ing monte carlo err-ors rvi relativ-e within between
.o @mi estimate using@

.e [MI] mi estimate postestimation
.c manual
.t Postestimation tools for mi estimate
.k mult-iple mult-iply imput-e imput-ations imput-ing
.k mi stat-istics est-imation est-imate post-estimations
.k test-s test-ing testtr-ansform rubin-s predict predictnl pred-ictions
.k coef-ficients linear nonlin-ear
.o @mi estimate postestimation@

.e [MI] mi expand
.c manual
.t Expand for mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k expand data-sets set-s manage-ment dup-licates repli-cates copy-ing
.o @mi expand@

.e [MI] mi export
.c manual
.t Export mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k expor-ting data-sets set-s manage-ment nhane-s1 ice mult-iple mult-iply
.o @mi export@

.e [MI] mi export ice
.c manual
.t Export mi data to ice format
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k expor-ting data-sets set-s manage-ment ice mult-iple mult-iply
.k chain-ed equation-s
.o @mi export ice@

.e [MI] mi export nhanes1
.c manual
.t Export mi data to NHANES format
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k expor-ting data-sets set-s manage-ment nhane-s1 mult-iple mult-iply
.o @mi export nhanes1@

.e [MI] mi extract
.c manual
.t Extract original or imputed data from mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k extrac-tion data-sets set-s manage-ment mult-iple mult-iply
.o @mi extract@

.e [MI] mi import
.c manual
.t Import data into mi
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k impor-ting data-sets set-s manage-ment nhane-s1 ice flong flongs-ep wide
.k mult-iple mult-iply
.o @mi import@

.e [MI] mi import flong
.c manual
.t Import flong-like data into mi
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k impor-ting data-sets set-s manage-ment flong mult-iple mult-iply
.o @mi import flong@

.e [MI] mi import flongsep
.c manual
.t Import flongsep-like data into mi
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k impor-ting data-sets set-s manage-ment flongs-ep mult-iple mult-iply
.o @mi import flongsep@

.e [MI] mi import ice
.c manual
.t Import ice-format data into mi
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k impor-ting data-sets set-s manage-ment ice mult-iple mult-iply
.k chain-ed equation-s
.o @mi import ice@

.e [MI] mi import nhanes1
.c manual
.t Import NHANES-format data into mi
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k impor-ting data-sets set-s manage-ment nhane-s1 mult-iple mult-iply
.o @mi import nhanes1@

.e [MI] mi import wide
.c manual
.t Import wide-like data into mi
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k impor-ting data-sets set-s manage-ment wide mult-iple mult-iply
.o @mi import wide@

.e [MI] mi impute
.c manual
.t Impute missing values
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics data-sets set-s manage-ment comp-leted
.k monotone mono-tonic patt-erns mult-iple mult-iply
.k mvn multiv-ariate norm-ality reg-ressions mcmc mark-ov chain monte carlo
.k logit logis-tic bina-ry mlogit multin-omial
.k ologit order-ed pmm predictive mean-s match-ing rubin-s bayes-ian
.k post-erior prob-abilities prior truncreg trunc-ated intreg
.k interv-als poisson count-s nbreg neg-ative binom-ial overdispersed
.k univar-iate multiv-ariate perfect pred-ictions cond-itional subsamp-les
.k cat-egorical method-s ice arbitrary chain-ed diagnos-tics
.o @mi impute@

.e [MI] mi impute chained
.c manual
.t Impute missing values using chained equations
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics mult-iple mult-iply chain-ed equation-s
.k multiv-ariate method-s fcs cond-itional pred-ictions ice
.k fully specifica-tion srmi sequen-tial compat-ibility burn-in in
.o @mi impute chained@

.e [MI] mi impute intreg
.c manual
.t Impute using interval regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics mult-iple mult-iply reg-ressions interv-als intreg
.k univar-iate method-s censor-ed censor-ing partially obs-erved
.o @mi impute intreg@

.e [MI] mi impute logit
.c manual
.t Impute using logistic regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics logit logis-tic bina-ry reg-ressions mult-iple mult-iply
.k bayes-ian univar-iate method-s
.o @mi impute logit@

.e [MI] mi impute mlogit
.c manual
.t Impute using multinomial logistic regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k stat-istics mlogit multin-omial logit logis-tic reg-ressions bayes-ian
.k univar-iate method-s
.o @mi impute mlogit@

.e [MI] mi impute monotone
.c manual
.t Impute missing values in monotone data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics monotone mono-tonic patt-erns mult-iple mult-iply bayes-ian
.k method-s cond-itional multiv-ariate sequen-tial
.o @mi impute monotone@

.e [MI] mi impute mvn
.c manual
.t Impute using multivariate normal regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics mvn multiv-ariate norm-ality reg-ressions
.k augment-ed augment-ation data mult-iple mult-iply burn-in in em algor-ithms
.k bayes-ian post-erior prob-abilities prior mcmc mark-ov chain monte carlo
.k method-s
.o @mi impute mvn@

.e [MI] mi impute nbreg
.c manual
.t Impute using negative binomial regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics reg-ressions binom-ial nbreg method-s univar-iate neg-ative
.o @mi impute nbreg@

.e [MI] mi impute ologit
.c manual
.t Impute using ordered logistic regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply univar-iate method-s
.k stat-istics ologit order-ed logit logis-tic reg-ressions bayes-ian
.o @mi impute ologit@

.e [MI] mi impute pmm
.c manual
.t Impute using predictive mean matching
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply univar-iate method-s
.k stat-istics pmm predictive mean-s match-ed match-es match-ing bayes-ian
.o @mi impute pmm@

.e [MI] mi impute poisson
.c manual
.t Impute using Poisson regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics reg-ressions poisson univar-iate method-s
.o @mi impute poisson@

.e [MI] mi impute regress
.c manual
.t Impute using linear regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics reg-ressions linear mult-iple mult-iply bayes-ian
.k univar-iate method-s
.o @mi impute regress@

.e [MI] mi impute truncreg
.c manual
.t Impute using truncated regression
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k stat-istics reg-ressions trunc-ated truncreg
.k univar-iate method-s
.o @mi impute truncreg@

.e [MI] mi merge
.c manual
.t Merge mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply comb-ining
.k merge data-sets set-s manage-ment comb-ine join var-iables add
.k match-ed match-es match-ing 1:1 m:1 1:m m:m
.o @mi merge@

.e [MI] mi misstable
.c manual
.t Tabulate pattern of missing values
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k data-sets set-s manage-ment mult-iple mult-iply
.k misstable tab-ulate tab-ulations patt-erns count-s
.k tree-s nest-ed nest-ing summ-ary summ-arize
.o @mi misstable@

.e [MI] mi passive
.c manual
.t Generate/replace and register passive variables
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply register
.k data-sets set-s manage-ment gen-erate replace egen passive-: var-iables
.o @mi passive@

.e [MI] mi predict
.c manual
.t Obtain multiple-imputation predictions
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k pred-ictions predictnl linear nonlin-ear post-estimations
.o @mi predict@

.e [MI] mi ptrace
.c manual
.t Load parameter-trace file into Stata
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k util-ity ptrace trace param-eters .stptrace load use read describ-e
.o @mi ptrace@

.e [MI] mi rename
.c manual
.t Rename variable
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k rename data-sets set-s manage-ment name-s var-iables change renaming
.o @mi rename@

.e [MI] mi replace0
.c manual
.t Replace original data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k replace-0 data-sets set-s manage-ment alter change var-iables modify
.o @mi replace0@

.e [MI] mi reset
.c manual
.t Reset imputed or passive variables
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k reset data-sets set-s manage-ment imputed passive mult-iple mult-iply
.o @mi reset@

.e [MI] mi reshape
.c manual
.t Reshape mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k reshape data-sets set-s manage-ment wide long mult-iple mult-iply
.k reshaping form
.o @mi reshape@

.e [MI] mi select
.c manual
.t Programmer's alternative to mi extract
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k selec-tion extrac-tion prog-ramming prog-rams data-sets set-s manage-ment
.o @mi select@

.e [MI] mi set
.c manual
.t Declare multiple-imputation data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k data-sets set-s manage-ment reg-ister unreg-ister unset-s
.k wide mlong flong flongs-ep imputed passive regular
.o @mi set@

.e [MI] mi stsplit
.c manual
.t Stsplit and stjoin mi data
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k st stsplit stjoin stat-istics split join span record-s mult-iple mult-iply
.k surviv-al time-span data fail-ure anal-ysis reliab-ility duration
.k model-s event
.o @mi stsplit@

.e [MI] mi test
.c manual
.t Test hypotheses after mi estimate
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply post-estimations zero coef-ficients hyp-othesis
.k hyp-otheses test-ing test-s
.o @mi test@

.e [MI] mi update
.c manual
.t Ensure that mi data are consistent
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k upd-ates data-sets set-s manage-ment mult-iple mult-iply verification
.o @mi update@

.e [MI] mi varying
.c manual
.t Identify variables that vary across imputations
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k data-sets set-s manage-ment mult-iple mult-iply
.k super vary-ing
.o @mi varying@

.e [MI] mi xeq
.c manual
.t Execute command(s) on individual imputations
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k xeq-: data-sets set-s manage-ment exec-ute mult-iple mult-iply
.k command-s individual
.o @mi xeq@

.e [MI] mi XXXset
.c manual
.t Declare mi data to be svy, st, ts, xt, etc.
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k data-sets set-s manage-ment mult-iple mult-iply
.k xxxset fvset svy-set st-set streset ts-set xt-set
.k time-series series panel-s surviv-al design-s survey-s set-tings
.k var-iables factor-s
.o @mi XXXset@

.e [MI] noupdate option
.c manual
.t The noupdate option
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k opt-ions data-sets set-s manage-ment noupdate mult-iple mult-iply
.o @mi noupdate option@

.e [MI] styles
.c manual
.t Dataset styles
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k data-sets set-s manage-ment wide mlong flong flongs-ep style-s
.k mult-iple mult-iply
.k _mi_miss _mi_m
.o @mi styles@

.e [MI] technical
.c manual
.t Details for programmers
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k prog-ramming prog-rams mult-iple mult-iply
.k _mi_marker-s _mi_style _mi_m _mi_ivar-s _mi_pvar-s _mi_rvar-s _mi_update
.k _mi_miss _mi_n _mi_id _mi_name
.k u_mi_assert_set u_mi_certify_data u_mi_no_sys_var-s u_mi_no_side_var-s
.k u_mi_zap_char-s u_mi_xeq_on_tmp_flongsep-: u_mi_get_flongsep_tmpname-:
.k u_mi_flongsep_erase mata u_mi_sortback u_mi_save-: u_mi_use
.k u_mi_swapvar-s u_mi_fixchar-s u_mi_cpchars_get u_mi_cpchars_put
.k u_mi_get_mata_instanced_var u_mi_ptrace_open u_mi_ptrace_write_stripe-s
.k u_mi_ptrace_write_iter u_mi_ptrace_close u_mi_ptrace_safeclose
.k wide mlong flong flongs-ep adding tech-nical command-s writ-e writ-ing
.k new
.o @mi technical@

.e [MI] workflow
.c manual
.t Suggested workflow
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k mult-iple mult-iply
.k stat-istics data-sets set-s manage-ment intro-duction work-flow flow
.o @mi workflow@

.e [MI] Glossary
.c manual
.t Glossary
.k mi miss-ing value-s imput-e imput-ations imput-ing num-bers . obs-ervations
.k glossary mult-iple mult-iply
.o @mi Glossary@

.e [MV] multivariate
.c manual
.t Introduction to multivariate commands
.k multiv-ariate anal-ysis stat-istics command-s intro-duction
.o @multivariate@

.e [MV] biplot
.c manual
.t Biplots
.k stat-istics multiv-ariate anal-ysis
.k biplot-s
.k graph-s graph-ics graph-ing plot-s
.k obs-ervations var-iables arrow-s
.k colu-mns row-s dim-ensions distance-s
.o @biplot@

.e [MV] ca
.c manual
.t Simple correspondence analysis
.k ca-mat
.k stat-istics est-imation multiv-ariate anal-ysis command-s
.k simple corres-pondence conting-ency tabl-es
.k dim-ensions colu-mns row-s distance-s chi-squared sq-uared chi-2 2
.k dual scaling recipr-ocal averaging matr-ix matr-ices
.o @ca@

.e [MV] ca postestimation
.c manual
.t Postestimation tools for ca and camat
.k ca-biplots biplot-s caproj-ection estat coor-dinates distance-s inertia-s
.k profile-s summ-arize tabl-es dim-ensions
.k corres-pondence anal-ysis
.k stat-istics est-imation multiv-ariate
.k post-estimations ca-mat
.k graph-s graph-ics graph-ing plot-s
.k chi-squared sq-uared chi-2 2
.o @ca postestimation@

.e [MV] candisc
.c manual
.t Canonical linear discriminant analysis
.k canon-ical stat-istics multiv-ariate est-imation command-s
.k linear discrim-ination discrim-inant anal-ysis candisc lda group-s
.k wilk-s lambda like-lihood ratio-s test-s test-ing structure load-ings
.k classif-ied classif-ications tabl-es fisher-s func-tions
.o @candisc@

.e [MV] canon
.c manual
.t Canonical correlations
.k canon-ical stat-istics est-imation command-s
.k load-ings orthog-onalize
.k corr-elate corr-elations factor-s anal-ysis multiv-ariate dim-ensions
.k wilk-s roy-s lambda pillai-s lawley-s hotel-lings trace root-s
.k like-lihood ratio-s test-s test-ing
.o @canon@

.e [MV] canon postestimation
.c manual
.t Postestimation tools for canon
.k stat-istics est-imation multiv-ariate anal-ysis
.k post-estimations
.k canon-ical estat corr-elations load-ings
.o @canon postestimation@

.e [MV] cluster
.c manual
.t Introduction to cluster-analysis commands
.k clus-ters clus-tering anal-ysis stat-istics similar-ity coef-ficients
.k similar-ities dissimilar-ity dissimilar-ities meas-ures distance-s bina-ry
.k proxi-mity proxi-mities
.k hier-archical link-age sing-lelinkage comp-letelinkage
.k avg ave-ragelinkage k-means k-medians
.k mean-s med-ians dend-rograms tree-s
.k partit-ions group-s agglom-erative continu-ous multiv-ariate
.k weight-ed waverage-linkage centroid-linkage median-linkage
.k ward-slinkage stop-ping
.k unweight-ed rule-s calinski harabasz duda hart je index indic-es num-bers
.k intro-duction hamann cluster-mat
.o @cluster@

.e [MV] clustermat
.c manual
.t Introduction to clustermat commands
.k cluster-mat clu-sters clus-tering anal-ysis
.k stat-istics multiv-ariate
.k dissimilar-ity dissimilar-ities matr-ix matr-ices
.k link-age comp-letelinkage sing-lelinkage ave-ragelinkage avg
.k weight-ed waverage-linkage centroid-linkage med-ians median-linkage
.k ward-slinkage hier-archical intro-duction
.o @clustermat@

.e [MV] cluster dendrogram
.c manual
.t Dendrograms for hierarchical cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age sing-le
.k comp-lete avg ave-rage dend-rograms tree-s graph-s graph-ics graph-ing
.k multiv-ariate
.o @cluster dendrogram@

.e [MV] cluster generate
.c manual
.t Gen. summary & grouping var. from a cluster analysis
.k clus-ters clus-tering anal-ysis hier-archical link-age sing-le comp-lete
.k avg ave-rage dend-rograms tree-s agglom-erative partit-ions group-s
.k group-ing gen-erate var-iables data-sets set-s manage-ment
.k multiv-ariate
.o @cluster generate@

.e [MV] cluster kmeans and kmedians
.c manual
.t Kmeans and kmedians cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics k-means mean-s partit-ions
.k group-s multiv-ariate k-medians med-ians
.o @cluster kmeans and kmedians@

.e [MV] cluster linkage
.c manual
.t Hierarchical cluster analysis
.k clus-ters clus-tering anal-ysis stat-istics hier-archical link-age
.k ave-ragelinkage avg group-s agglom-erative dend-rograms tree-s
.k multiv-ariate cluster-mat centroid-linkage upgmc unweight-ed wpgma
.k comp-letelinkage med-ians median-linkage gower-s weight-ed centroid wpgmc
.k cluster-mat sing-lelinkage ward-slinkage ward-linkage meth-ods hgroup
.k min-imums variance-s
.o @cluster linkage@

.e [MV] cluster notes
.c manual
.t Place notes in cluster analysis
.k clus-ters clus-tering anal-ysis util-ity note-s data-sets set-s manage-ment
.k attach describ-e multiv-ariate
.o @cluster notes@

.e [MV] cluster programming subroutines
.c manual
.t Add cluster-analysis routines
.k prog-ramming prog-rams clus-ters clus-tering anal-ysis subroutine routine
.k gen-erate func-tions dend-rograms tree-s stop-ping rule-s multiv-ariate
.o @cluster programming@

.e [MV] cluster programming utilities
.c manual
.t Cluster-analysis programming utilities
.k prog-ramming prog-rams clus-ters clus-tering anal-ysis util-ity note-s
.k data-sets set-s manage-ment attach query set delete parse-distances l1 l2
.k similar-ity coef-ficients similar-ities dissimilar-ity dissimilar-ities
.k proxi-mity proxi-mities
.k meas-ures distance-s bina-ry euclidean abs-olute value-s max-imum canberra
.k minkowski angular angle cos-ine corr-elations
.k match-ed match-es match-ing jaccard russell rao
.k hamman dice rogers tanimoto sneath sokal ochiai yule anderberg kulczynski
.k gower-s pearson city-block block manhat-tan linf-inity czekanowski sorenson
.k var-iables char charac-teristics hamann multiv-ariate
.o @cluster programming@

.e [MV] cluster stop
.c manual
.t Cluster-analysis stopping rules
.k clus-ters clus-tering anal-ysis stat-istics stop-ping rule-s
.k calinski harabasz duda hart je index indic-es num-bers group-s cluster-mat
.k multiv-ariate
.o @cluster stop@

.e [MV] cluster utility
.c manual
.t List, rename, use, and drop cluster analyses
.k clus-ters clus-tering anal-ysis util-ity list-s drop display dir rename-var
.k use multiv-ariate
.o @cluster utility@

.e [MV] discrim
.c manual
.t Discriminant analysis
.k discrim-ination discrim-inant anal-ysis multiv-ariate stat-istics
.k knn kth nearest neighbor-s linear lda logis-tic
.k qda quad-ratic class-es group-s classif-ications classif-ied
.k est-imation post-erior prob-abilities prior
.o @discrim@

.e [MV] discrim estat
.c manual
.t Postestimation tools for discrim
.k discrim-ination discrim-inant anal-ysis multiv-ariate
.k class-es group-s classif-ications classif-ied
.k post-estimations est-imation estat cross-tabulations tab-ulate
.k tab-ulations error-s rate-s summ-ary stat-istics var-iables list-s
.k classtab-le errorrate grsumm-arize summ-arize confusion matr-ix matr-ices
.o @discrim estat@

.e [MV] discrim knn
.c manual
.t kth-nearest-neighbor discriminant analysis
.k discrim-ination discrim-inant anal-ysis multiv-ariate knn neighbor-s
.k similar-ity similar-ities dissimilar-ity dissimilar-ities
.k obs-ervations est-imation kth nearest mahal-anobis distance-s
.k classif-ied classif-ications class-es group-s stat-istics
.k post-erior prob-abilities prior
.o @discrim knn@

.e [MV] discrim knn postestimation
.c manual
.t Postestimation tools for discrim knn
.k discrim-ination discrim-inant anal-ysis multiv-ariate
.k kth nearest knn neighbor-s
.k post-estimations est-imation
.k classif-ied classif-ications class-es group-s stat-istics
.o @discrim knn postestimation@

.e [MV] discrim lda
.c manual
.t Linear discriminant analysis
.k linear discrim-ination discrim-inant anal-ysis multiv-ariate lda candisc
.k est-imation fisher-s func-tions mahal-anobis distance-s
.k classif-ied classif-ications class-es group-s stat-istics
.k post-erior prob-abilities prior command-s
.o @discrim lda@

.e [MV] discrim lda postestimation
.c manual
.t Postestimation tools for discrim lda
.k estat
.k linear discrim-ination discrim-inant anal-ysis multiv-ariate lda candisc
.k post-estimations est-imation
.k classif-ied classif-ications class-es group-s stat-istics
.k anova manova canontest classf-unctions grmeans load-ings structure
.k corr-elations cov-ariances matr-ix matr-ices
.k fisher-s func-tions mahal-anobis distance-s grdist-ances
.k loading-plot score-plot scree-plot
.o @discrim lda postestimation@

.e [MV] discrim logistic
.c manual
.t Logistic discriminant analysis
.k logis-tic discrim-ination discrim-inant anal-ysis multiv-ariate
.k logit multin-omial est-imation command-s
.k classif-ied classif-ications class-es group-s stat-istics
.k post-erior prob-abilities prior
.o @discrim logistic@

.e [MV] discrim logistic postestimation
.c manual
.t Postest. tools for discrim logistic
.k logis-tic discrim-ination discrim-inant anal-ysis multiv-ariate
.k post-estimations est-imation
.k classif-ied classif-ications class-es group-s stat-istics
.o @discrim logistic postestimation@

.e [MV] discrim qda
.c manual
.t Quadratic discriminant analysis
.k quad-ratic discrim-ination discrim-inant anal-ysis multiv-ariate qda
.k est-imation mahal-anobis distance-s
.k classif-ied classif-ications class-es group-s stat-istics
.k post-erior prob-abilities prior command-s
.o @discrim qda@

.e [MV] discrim qda postestimation
.c manual
.t Postestimation tools for discrim qda
.k estat
.k quad-ratic discrim-ination discrim-inant anal-ysis multiv-ariate qda
.k post-estimations est-imation mahal-anobis distance-s grdist-ances
.k classif-ied classif-ications class-es group-s stat-istics
.k corr-elations cov-ariances matr-ix matr-ices
.o @discrim qda postestimation@

.e [MV] factor
.c manual
.t Factor analysis
.k factor-s
.k stat-istics est-imation multiv-ariate command-s
.k factor-mat matr-ix matr-ices
.k princ-ipal compon-ents anal-ysis
.k reliab-ility iter-ated communal-ity max-imum like-lihood communal-ities
.k eigen-values eigen-vectors specifici-ty load-ings horst patt-erns
.k reconstruct-ion uniq-ueness model-s kaiser
.o @factor@

.e [MV] factor postestimation
.c manual
.t Postestimation tools for factor and factormat
.k estat anti factor-s common kmo resid-uals rotate-compare smc structure
.k summ-arize load-ings
.k stat-istics est-imation multiv-ariate anal-ysis
.k factor-s factor-mat post-estimations
.k image matr-ix matr-ices variance-s cov-ariances corr-elations
.k ic info-rmation criterion schwartz schwarz akaike-s bayes-ian aic bic
.k kaiser meyer olkin rotate rotation-s scor-e scor-ing bartlett-s
.k loading-plot score-plot scree-plot
.o @factor postestimation@

.e [MV] hotelling
.c manual
.t Hotelling's T-squared generalized means test
.k hotel-lings stat-istics tsq-uared sq-uared
.k equal-ity test-s test-ing stud-entst t-tests distrib-utions mean-s
.k hyp-othesis hyp-otheses ave-rages match-ed match-es match-ing pair-s
.k multiv-ariate anal-ysis
.o @hotelling@

.e [MV] manova
.c manual
.t Multivariate analysis of variance and covariance
.k manova stat-istics multiv-ariate anal-ysis variance-s anova est-imation
.k cov-ariances mancova manocova anocova ancova cat-egorical
.k linear reg-ressions model-s mean-s cell-s split plot-s interact-ions
.k indica-tor var-iables dum-my dum-mies factori-al design-s block-ed | * #
.k class main nest-ed effect-s way n-way unbal-anced bal-anced test-s test-ing
.k partial one-way two-way repeat-ed meas-ures rand-omized fix-ed mixed
.k latin sq-uares least ordinary ols within between factor-s wilk-s
.k lambda roy-s pillai-s lawley-s hotel-lings trace like-lihood ratio-s root-s
.k largest tsq-uared sq-uared general-ized command-s
.o @manova@

.e [MV] manova postestimation
.c manual
.t Postestimation tools for manova
.k stat-istics est-imation multiv-ariate anal-ysis
.k manova post-estimations
.k manovatest test-s test-ing hyp-othesis hyp-otheses
.k wilk-s lambda roy-s largest pillai-s lawley-s hotel-lings trace
.k like-lihood ratio-s root-s
.o @manova postestimation@

.e [MV] matrix dissimilarity
.c manual
.t Compute similarity or dissimilarity measures
.k stat-istics multiv-ariate anal-ysis
.k prog-rams prog-ramming matr-ices matr-ix
.k similar-ity similar-ities dissimilar-ity dissimilar-ities
.k proxi-mity proxi-mities
.k meas-ures coef-ficients distance-s bina-ry continu-ous
.k obs-ervations var-iables
.k l l1 l2 euclidean abs-olute value-s max-imum
.k canberra minkowski angular angle cos-ine corr-elations
.k match-ed match-es match-ing jaccard kulczynski gower-s pearson
.k russell rao hamman dice antidice rogers tanimoto
.k sneath sokal ochiai yule anderberg
.k city-block block manhat-tan linf-inity czekanowski sorenson
.k sq-uared l2squared lpow-er power-s
.o @matrix dissimilarity@

.e [MV] mca
.c manual
.t Multiple and joint correspondence analysis
.k mca
.k stat-istics est-imation multiv-ariate anal-ysis command-s
.k mult-iple joint corres-pondence mca jca cat-egorical var-iables
.k cross-tabulations tab-ulate tab-ulations burt matr-ix matr-ices
.o @mca@

.e [MV] mca postestimation
.c manual
.t Postestimation tools for mca
.k mca
.k stat-istics est-imation multiv-ariate anal-ysis
.k mult-iple joint corres-pondence mca jca cat-egorical var-iables
.k cross-tabulations tab-ulate tab-ulations post-estimations
.k mcaplot-s mcaproj-ection graph-s graph-ics graph-ing plot-s
.k estat coor-dinates subinertia-s inertia-s scree-plot
.o @mca postestimation@

.e [MV] mds
.c manual
.t Multidimensional scaling for two-way data
.k mds
.k stat-istics est-imation multiv-ariate anal-ysis command-s
.k metr-ic multi-dimensional dimen-sional dim-ensions scale-d scaling
.k similar-ity similar-ities dissimilar-ity dissimilar-ities
.k proxi-mity proxi-mities meas-ures coef-ficients distance-s bina-ry
.k continu-ous eigen-values euclidean class-ical modern non-metric crite-ria
.k stress n-stress s-stress strain sammon mono-tonic
.o @mds@

.e [MV] mds postestimation
.c manual
.t Postestimation tools for mds, mdsmat, and mdslong
.k estat mds-configurations mds-shepard
.k stat-istics est-imation multiv-ariate anal-ysis
.k mds mdsmat mdslong post-estimations
.k multi-dimensional dimen-sional dim-ensions scale-d scaling
.k config-urations corr-elations pair-wise dissimilar-ity dissimilar-ities
.k distance-s resid-uals quantile-s kruskal stress summ-arize shepard
.o @mds postestimation@

.e [MV] mdslong
.c manual
.t Multidimensional scaling of proximity data in long format
.k mds mdslong
.k stat-istics est-imation multiv-ariate anal-ysis
.k metr-ic multi-dimensional dimen-sional dim-ensions scale-d scaling
.k similar-ity similar-ities dissimilar-ity dissimilar-ities distance-s
.k proxi-mity proxi-mities eigen-values euclidean command-s
.k class-ical modern non-metric crite-ria stress n-stress s-stress strain
.k sammon two-way way transfo-rmations identity power mono-tonic
.o @mdslong@

.e [MV] mdsmat
.c manual
.t Multidimensional scaling of proximity data in a matrix
.k mds mdsmat matr-ix matr-ices
.k stat-istics est-imation multiv-ariate anal-ysis
.k metr-ic multi-dimensional dimen-sional dim-ensions scale-d scaling
.k similar-ity similar-ities dissimilar-ity dissimilar-ities distance-s
.k proxi-mity proxi-mities eigen-values euclidean command-s
.k class-ical modern non-metric crite-ria stress n-stress s-stress strain
.k sammon two-way way transfo-rmations identity power mono-tonic
.o @mdsmat@

.e [MV] measure_option
.c manual
.t Option for similarity and dissimilarity measures
.k stat-istics multiv-ariate anal-ysis
.k cluster mds opt-ions similar-ity similar-ities dissimilar-ity
.k dissimilar-ities proxi-mity proxi-mities meas-ures coef-ficients
.k distance-s bina-ry continu-ous l l1 l2 euclidean abs-olute value-s max-imum
.k canberra minkowski angular angle cos-ine corr-elations match-ed match-es
.k match-ing jaccard kulczynski gower-s pearson russell rao hamman dice
.k antidice rogers tanimoto sneath sokal ochiai yule anderberg city-block
.k block manhat-tan linf-inity czekanowski sorenson sq-uared l2squared
.k lpow-er power-s gower-2
.o @measure_option@

.e [MV] mvtest
.c manual
.t Multivariate tests
.k stat-istics mvtest multiv-ariate test-s test-ing mean-s cov-ariances
.k corr-elations univar-iate bivar-iate norm-ality samp-les samp-ling one
.k mult-iple equal-ity hyp-othesis hyp-otheses anal-ysis
.o @mvtest@

.e [MV] mvtest correlations
.c manual
.t Multivariate tests of correlations
.k stat-istics
.k mvtest multiv-ariate test-s test-ing corr-elations samp-les
.k one mult-iple equal-ity hyp-othesis hyp-otheses anal-ysis
.o @mvtest correlations@

.e [MV] mvtest covariances
.c manual
.t Multivariate tests of covariances
.k stat-istics mvtest multiv-ariate test-s test-ing cov-ariances
.k univar-iate bivar-iate samp-les one mult-iple box-m m equal-ity
.k hyp-othesis hyp-otheses anal-ysis
.o @mvtest covariances@

.e [MV] mvtest means
.c manual
.t Multivariate tests of means
.k stat-istics mvtest multiv-ariate test-s test-ing mean-s
.k univar-iate bivar-iate samp-les one mult-iple
.k hotel-lings tsq-uared sq-uared equal-ity hyp-othesis hyp-otheses
.k behren-s fisher-s anal-ysis
.o @mvtest means@

.e [MV] mvtest normality
.c manual
.t Multivariate normality tests
.k stat-istics mvtest multiv-ariate test-s test-ing
.k univar-iate bivar-iate norm-ality samp-les one
.k doornik hansen henze zirkler mardia sktest skew-ness kurt-osis
.k hyp-othesis hyp-otheses distrib-utions asym-metry sym-metry anal-ysis
.o @mvtest normality@

.e [MV] pca
.c manual
.t Principal component analysis
.k stat-istics est-imation multiv-ariate command-s
.k pca pcamat princ-ipal compon-ents anal-ysis
.k eigen-values eigen-vectors load-ings patt-erns matr-ix matr-ices
.k multiv-ariate reconstruct-ion uniq-ueness model-s
.o @pca@

.e [MV] pca postestimation
.c manual
.t Postestimation tools for pca and pcamat
.k estat anti kmo load-ings resid-uals rotate-compare smc
.k summ-arize scor-e scor-ing
.k stat-istics est-imation multiv-ariate anal-ysis
.k pca pcamat post-estimations
.k image matr-ix matr-ices variance-s cov-ariances corr-elations
.k kaiser meyer olkin rotate rotation-s
.k loading-plot score-plot scree-plot
.o @pca postestimation@

.e [MV] procrustes
.c manual
.t Procrustes transformation
.k procrust-es
.k stat-istics est-imation multiv-ariate anal-ysis command-s
.k orthog-onal obliq-ue transfo-rmations rotation-s rotate var-iables
.k target source
.o @procrustes@

.e [MV] procrustes postestimation
.c manual
.t Postestimation tools for procrustes
.k estat compar-e mvreg summ-arize
.k stat-istics est-imation multiv-ariate anal-ysis
.k post-estimations
.k procoverlay procrust-es overlay-ing graph-s graph-ics graph-ing plot-s
.o @procrustes postestimation@

.e [MV] rotate
.c manual
.t Orthogonal and oblique rotations after factor and pca
.k rotate rotation-s orthog-onal obliq-ue
.k stat-istics multiv-ariate anal-ysis
.k post-estimations est-imation command-s
.k pca pcamat factor-s factor-mat
.k varimax vgpf quartimax equamax parsimax entro-py tandem-1 tandem-2
.k promax oblimin cf bentler-s oblimax quartimin target partial
.k gpf comrey-s crawford-s ferguson-s load-ings compon-ents horst patt-erns
.k biquartimax biquartimin covarimin orthomax kaiser
.k weight-s weight-ed weight-ing norm-alized norm-alization procrust-es
.o @rotate@

.e [MV] rotatemat
.c manual
.t Orthogonal and oblique rotations of a Stata matrix
.k rotate rotation-s orthog-onal obliq-ue matr-ix matr-ices
.k stat-istics multiv-ariate anal-ysis
.k varimax vgpf quartimax equamax parsimax entro-py tandem-1 tandem-2
.k promax oblimin cf bentler-s oblimax quartimin target partial
.k gpf comrey-s crawford-s ferguson-s load-ings compon-ents horst patt-erns
.k biquartimax biquartimin covarimin orthomax kaiser
.k weight-s weight-ed weight-ing norm-alized norm-alization procrust-es
.k rotatemat
.o @rotatemat@

.e [MV] scoreplot
.c manual
.t Score and loading plots
.k score-plot loading-plot plot-s graph-s graph-ics graph-ing
.k pca pcamat factor-s factor-mat multiv-ariate anal-ysis
.k scor-e scor-ing compon-ents load-ings
.k post-estimations est-imation command-s
.o @scoreplot@

.e [MV] screeplot
.c manual
.t Scree plot
.k scree-plot eigen-values graph-s graph-ics graph-ing plot-s
.k pca pcamat factor-s factor-mat multiv-ariate anal-ysis
.k conf-idence band-s greigen
.k post-estimations est-imation command-s
.o @screeplot@

.e [MV] Glossary
.c manual
.t Glossary
.k glossary mv multiv-ariate anal-ysis
.o @mv glossary@

.e [SEM] intro 1
.c manual
.t Introduction
.k sem struc-tural equation-s model-ing stat-istics multiv-ariate
.k intro-duction
.o @sem introduction@

.e [SEM] intro 2
.c manual
.t Learning the language: Path diagrams and command language
.k sem struc-tural equation-s model-ing stat-istics path-s diagr-ams
.k lang-uage command-s nota-tion
.o @sem introduction@

.e [SEM] intro 3
.c manual
.t Substantive concepts
.k sem struc-tural equation-s model-ing stat-istics specify-ing converg-ence
.k general-ized least sq-uares max-imum like-lihood vce unit load-ing
.k asymp-totic distrib-utions free adf meth-ods constrain-ts constrain-ing
.k path-s coef-ficients intercep-ts param-eters cov-ariances variance-s
.k norm-alization start-ing value-s cond-itional norm-ality joint var-iables
.k type-s obs-erved latent endog-enous exog-enous error-s model-s
.k identified identification identify anchor-ing opt-ions
.o @sem introduction@

.e [SEM] intro 4
.c manual
.t Tour of models
.k sem struc-tural equation-s model-ing stat-istics multitrait multimethod
.k data matr-ix matr-ices model-s opt-ions covstructure mean-s sing-le
.k factor-s meas-urements mult-iple confirm-atory anal-ysis cfa
.k linear reg-ressions mimic sur seemingly unrel-ated reg-ressions
.k latent growth corr-elations corr-elate uniq-ueness reliab-ility
.k indicator-s caus-es endog-enous var-iables error-s
.o @sem introduction@

.e [SEM] intro 5
.c manual
.t Comparing groups
.k sem struc-tural equation-s model-ing stat-istics group-s compar-isons
.k compar-e constrain-ts fit-ting model-s est-imation est-imating
.k param-eters constrain-ed constrain-ing across path-s specify-ing relax-ing
.k opt-ions group-s ginvariant
.o @sem introduction@

.e [SEM] intro 6
.c manual
.t Postestimation tests and predictions
.k sem struc-tural equation-s model-ing stat-istics post-estimations
.k test-s pred-ictions replay-ing model-s goodness of fit gof sav-ed result-s
.k access-ing pred-icted omit-ted path-s relax-ing constrain-ts bentler-s
.k week-s matr-ix matr-ices estat command-s factor-s scor-es lincom
.k nlcom value-s wald
.o @sem introduction@

.e [SEM] intro 7
.c manual
.t Robust and clustered standard errors
.k sem struc-tural equation-s model-ing stat-istics stand-ard err-ors
.k robust clus-ters clus-tering clus-tered huber white-s sandw-ich
.k variance-s vce est-imators opt-ions
.o @sem introduction@

.e [SEM] intro 8
.c manual
.t Standard errors, the full story
.k sem struc-tural equation-s model-ing stat-istics multiv-ariate
.k intro-duction method-s
.o @sem introduction@

.e [SEM] intro 9
.c manual
.t Fitting models using survey data
.k sem struc-tural equation-s model-ing stat-istics model-s fit-ting survey-s
.k data svy prefix complex design-s clus-ters clus-tering clus-tered
.k sample-s samp-ling strat-ification est-imation est-imating
.o @sem introduction@

.e [SEM] intro 10
.c manual
.t Fitting models using summary statistics data
.k sem struc-tural equation-s model-ing stat-istics model-s fit-ting
.k summ-ary data ssd est-imation est-imating command-s
.o @sem introduction@

.e [SEM] estat eqgof
.c manual
.t Equation-level goodness-of-fit statistics
.k sem struc-tural equation-s model-ing stat-istics estat eqgof
.k goodness fit-ted test-s equation-s level-s post-estimations command-s
.k gof bentler-s raykov sq-uared mult-iple corr-elations coef-ficients
.k determ-ination r model-s cd variance-s decomp-osition pred-icted resid-uals
.o @estat eqgof@

.e [SEM] estat eqtest
.c manual
.t Equation-level test that all coefficients are zero
.k sem struc-tural equation-s model-ing stat-istics estat eqtest equation-s
.k level-s test-s coef-ficients zero wald post-estimations command-s
.k hyp-othesis hyp-otheses
.o @estat eqtest@

.e [SEM] estat framework
.c manual
.t Display estimation results in modeling framework
.k sem struc-tural equation-s model-ing stat-istics estat framework display
.k est-imation result-s command-s bentler-s week-s form matr-ix matr-ices
.k report-ing
.o @estat framework@

.e [SEM] estat ggof
.c manual
.t Group-level goodness-of-fit statistics
.k sem struc-tural equation-s model-ing stat-istics estat ggof group-s
.k level goodness fit gof post-estimations command-s coef-ficients
.k determ-ination cd stand-ardized root mean-s sq-uared resid-uals srmr
.o @estat ggof@

.e [SEM] estat ginvariant
.c manual
.t Tests for invariance of parameters across groups
.k sem struc-tural equation-s model-ing stat-istics estat ginvariant
.k invariance test-s param-eters across group-s post-estimations
.k command-s hyp-othesis hyp-otheses lagrange score wald multipli-er
.o @estat ginvariant@

.e [SEM] estat gof
.c manual
.t Goodness-of-fit statistics
.k sem struc-tural equation-s model-ing stat-istics estat gof
.k pop-ulations error-s approx-imations tucker lewis pclose rmsea
.k like-lihood ratio-s comparative index indic-es goodness fit
.k test-s post-estimations command-s stand-ardized root mean-s sq-uared
.k resid-uals srmr aic bic akaike info-rmation criterion bayes-ian cd
.k baseline saturated compar-isons model-s coef-ficients determ-ination
.o @sem estat gof@

.e [SEM] estat mindices
.c manual
.t Modification indices
.k sem struc-tural equation-s model-ing stat-istics estat mindices
.k index indic-es modifi-cation post-estimations command-s omit-ted path-s
.k score test-s hyp-othesis hyp-otheses lang-uage multipli-er
.o @estat mindices@

.e [SEM] estat residuals
.c manual
.t Display mean and covariance residuals
.k sem struc-tural equation-s model-ing stat-istics estat resid-uals
.k mean-s cov-ariances post-estimations command-s norm-alization result-s
.k report-ing
.o @sem estat residuals@

.e [SEM] estat scoretests
.c manual
.t Score tests
.k sem struc-tural equation-s model-ing stat-istics estat scoretests
.k scor-es test-s post-estimations command-s constrain-ts lin-ear
.k lang-uage multipli-er hyp-othesis hyp-otheses
.o @estat scoretests@

.e [SEM] estat stable
.c manual
.t Check stability of nonrecursive system
.k sem struc-tural equation-s model-ing stat-istics estat stable
.k stabil-ity nonrecursive system eigen-value index model-s
.k post-estimations command-s hyp-othesis hyp-otheses test-s feedback
.k loop-s
.o @estat stable@

.e [SEM] estat stdize
.c manual
.t Test standardized parameters
.k sem struc-tural equation-s model-ing stat-istics estat stdize
.k test-s stand-ardized param-eters lincom testnl nlcom post-estimations
.k command-s linear comb-inations nonlin-ear wald hyp-othesis hyp-otheses
.k corr-elations
.o @estat stdize@

.e [SEM] estat summarize
.c manual
.t Report summary statistics for estimation sample
.k sem struc-tural equation-s model-ing stat-istics estat summ-arize
.k summ-ary est-imation sample-s post-estimations command-s report-ing
.k result-s
.o @estat summarize@

.e [SEM] estat teffects
.c manual
.t Decomp. of effects into total, direct, and indirect
.k sem struc-tural equation-s model-ing stat-istics estat teffects
.k decomp-osition effect-s total-s direct indirect post-estimations
.k command-s path-s coef-ficients report-ing result-s feedback loop-s
.o @estat teffects@

.e [SEM] example 1
.c manual
.t Single-factor measurement model
.k sem struc-tural equation-s model-ing stat-istics examp-les sing-le
.k factor meas-urements model-s error-s
.o @sem examples@

.e [SEM] example 2
.c manual
.t Creating dataset from published covariances
.k sem struc-tural equation-s model-ing stat-istics examp-les ssd command-s
.k summ-ary cov-ariances data-sets set-s creat-ing creat-e
.o @sem examples@

.e [SEM] example 3
.c manual
.t Two-factor measurement model
.k sem struc-tural equation-s model-ing stat-istics examp-les coef-ficients
.k stand-ardized goodness fit gof two 2 factor-s meas-urements model-s
.k mult-iple estat eqgof equation-s level
.o @sem examples@

.e [SEM] example 4
.c manual
.t Goodness-of-fit statistics
.k sem struc-tural equation-s model-ing stat-istics examp-les goodness fit gof
.k estat akaike aic info-rmation criterion crite-ria baseline bic bayes-ian
.k compar-isons model-s coef-ficients determ-ination cd test-s comparative
.k index tucker lewis approx-imations pclose stand-ardization root mean-s
.k sq-uared resid-uals srmr rmsea pop-ulations error-s like-lihood ratio-s
.k saturated
.o @sem examples@

.e [SEM] example 5
.c manual
.t Modification indices
.k sem struc-tural equation-s model-ing stat-istics examp-les estat
.k modifi-cation index indic-es mindices test-s hyp-othesis hyp-otheses
.k omit-ted path-s
.o @sem examples@

.e [SEM] example 6
.c manual
.t Linear regression
.k sem struc-tural equation-s model-ing stat-istics examp-les linear
.k reg-ressions model-s est-imation est-imating fit-ting stand-ardized
.k coef-ficients
.o @sem examples@

.e [SEM] example 7
.c manual
.t Nonrecursive structural model
.k sem struc-tural equation-s model-ing stat-istics examp-les teffects
.k nonrecursive model-s est-imation est-imating fit-ting estat stable
.o @sem examples@

.e [SEM] example 8
.c manual
.t Testing that coefficients are equal, and constraining them
.k sem struc-tural equation-s model-ing stat-istics examp-les test-s
.k coef-ficients equal constrain-ts constraining estat scoretests
.k test-ing coeflegend opt-ions command-s
.o @sem examples@

.e [SEM] example 9
.c manual
.t Structural model with measurement component
.k sem struc-tural equation-s model-ing stat-istics examp-les meas-urements
.k model-s compon-ents fit-ting est-imating est-imation omit-ted path-s
.k estat mindices
.o @sem examples@

.e [SEM] example 10
.c manual
.t MIMIC model
.k sem struc-tural equation-s model-ing stat-istics examp-les mimic model-s
.k mult-iple indica-tor caus-es fit-ting est-imating est-imation estat
.k resid-uals lrtest like-lihood ratio-s test-s
.o @sem examples@

.e [SEM] example 11
.c manual
.t estat framework
.k sem struc-tural equation-s model-ing stat-istics examp-les estat framework
.k post-estimations benter week-s form display-ing est-imation result-s
.k matr-ix matr-ices report-ing implied cov-ariances corr-elations
.k model-s
.o @sem examples@

.e [SEM] example 12
.c manual
.t Seemingly unrelated regression
.k sem struc-tural equation-s model-ing stat-istics examp-les sur
.k seemingly unrel-ated reg-ressions est-imating est-imation fit-ting
.k multiv-ariate
.o @sem examples@

.e [SEM] example 13
.c manual
.t Equation-level Wald test
.k sem struc-tural equation-s model-ing stat-istics examp-les estat
.k eqtest command-s level wald test-s
.o @sem examples@

.e [SEM] example 14
.c manual
.t Predicted values
.k sem struc-tural equation-s model-ing stat-istics examp-les post-estimations
.k command-s postest score-s factor-s value-s pred-icted pred-ictions
.o @sem examples@

.e [SEM] example 15
.c manual
.t Higher-order CFA
.k sem struc-tural equation-s model-ing stat-istics examp-les cfa
.k confirm-atory factor-s anal-ysis
.o @sem examples@

.e [SEM] example 16
.c manual
.t Correlation
.k sem struc-tural equation-s model-ing stat-istics examp-les estat
.k corr-elations stdize command-s model-s coeflegend opt-ions
.k test-s
.o @sem examples@

.e [SEM] example 17
.c manual
.t Correlated uniqueness model
.k sem struc-tural equation-s model-ing stat-istics examp-les corr-elated
.k uniq-ueness model-s multitrait multimethod data matr-ix matr-ices
.k covstructure opt-ions
.o @sem examples@

.e [SEM] example 18
.c manual
.t Latent growth model
.k sem struc-tural equation-s model-ing stat-istics examp-les mean-s
.k opt-ions model-s growth latent
.o @sem examples@

.e [SEM] example 19
.c manual
.t Creating multiple-group summary statistics data
.k sem struc-tural equation-s model-ing stat-istics examp-les ssd
.k command-s summ-ary data creat-ed creat-ing
.o @sem examples@

.e [SEM] example 20
.c manual
.t Two-factor measurement model by group
.k sem struc-tural equation-s model-ing stat-istics examp-les opt-ions group-s
.k est-imation est-imating fit-ting model-s meas-urements two 2 factor-s
.o @sem examples@

.e [SEM] example 21
.c manual
.t Group-level goodness of fit
.k sem struc-tural equation-s model-ing stat-istics examp-les group-s level
.k goodness fit gof estat ggof opt-ions cd coef-ficients determ-ination
.k srmr stand-ardized root mean-s sq-uared resid-uals
.o @sem examples@

.e [SEM] example 22
.c manual
.t Testing parameter equality across groups
.k sem struc-tural equation-s model-ing stat-istics examp-les test-ing test-s
.k param-eters equal-ity across group-s estat ginvariant command-s
.k invariance
.o @sem examples@

.e [SEM] example 23
.c manual
.t Specifying parameter constraints across groups
.k sem struc-tural equation-s model-ing stat-istics examp-les invariance
.k ginvariant estat opt-ions group-s model-s constrain-ed across constrain-ts
.k param-eters
.o @sem examples@

.e [SEM] example 24
.c manual
.t Reliability
.k sem struc-tural equation-s model-ing stat-istics examp-les opt-ions
.k reliab-ility
.o @sem examples@

.e [SEM] example 25
.c manual
.t Creating summary statistics data from raw data
.k sem struc-tural equation-s model-ing stat-istics examp-les creat-ed
.k creat-ing data summ-ary ssd command-s
.o @sem examples@

.e [SEM] example 26
.c manual
.t Fitting a model using data missing at random
.k sem struc-tural equation-s model-ing stat-istics examp-les fit-ting
.k est-imation est-imating model-s miss-ing rand-om mar mlmv meth-ods
.k max-imum like-lihood value-s opt-ions
.o @sem examples@

.e [SEM] GUI
.c manual
.t Graphical user interface
.k sem struc-tural equation-s model-ing stat-istics gui graph-ical user-s
.k interface
.o @sem gui@

.e [SEM] lincom
.c manual
.t Linear combinations of parameters
.k sem struc-tural equation-s model-ing stat-istics lincom linear
.k comb-inations param-eters command-s post-estimations
.o @sem lincom@

.e [SEM] lrtest
.c manual
.t Likelihood-ratio test of linear hypothesis
.k sem struc-tural equation-s model-ing stat-istics lrtest like-lihood
.k ratio-s test-s linear hyp-othesis hyp-otheses post-estimations command-s
.o @sem lrtest@

.e [SEM] methods and formulas
.c manual
.t Methods and formulas
.k sem struc-tural equation-s model-ing stat-istics meth-ods formula-s
.o @sem@

.e [SEM] nlcom
.c manual
.t Nonlinear combinations of parameters
.k sem struc-tural equation-s model-ing stat-istics nlcom nonlinear
.k comb-inations param-eters command-s post-estimations
.o @sem nlcom@

.e [SEM] predict
.c manual
.t Factor scores, linear predictions, etc.
.k sem struc-tural equation-s model-ing stat-istics pred-ictions factor-s
.k scor-es linear post-estimations command-s pred-icted value-s
.o @sem predict@

.e [SEM] sem
.c manual
.t Structural equation model estimation command
.k sem struc-tural equation-s model-ing stat-istics est-imation est-imating
.k fit-ting model-s command-s
.o @sem@

.e [SEM] sem estimation options
.c manual
.t Options affecting estimation
.k sem struc-tural equation-s model-ing stat-istics opt-ions est-imation
.k meth-ods vce nm1 noxconditional allmissing noivstart satopts baseopts
.k baseopts max-imization max-imize
.o @sem estimation options@

.e [SEM] sem group options
.c manual
.t Fitting models on different groups
.k sem struc-tural equation-s model-ing stat-istics fit-ting model-s
.k est-imation est-imating group-s subgroup-s ginvariant opt-ions
.k equal across constrain-ed
.o @sem group options@

.e [SEM] sem model description options
.c manual
.t Model description options
.k sem struc-tural equation-s model-ing stat-istics opt-ions
.k cov-ariances variance-s mean-s covstruct covstructure from reliab-ility
.k constrain-ts constrain-ing constrain-ed anchor-ing noanchor forcenoanchor
.o @sem model description options@

.e [SEM] sem option constraints()
.c manual
.t Specifying constraints
.k sem struc-tural equation-s model-ing stat-istics constrain-ed constrain-ts
.k opt-ions constrain-ing
.o @sem option constraints()@

.e [SEM] sem option covstructure()
.c manual
.t Specifying covariance restrictions
.k sem struc-tural equation-s model-ing stat-istics opt-ions covstructure
.k cov-ariances restric-tions constrain-ts constrain-ing constrain-ed
.k _ex _lex _oex covstruct e._oen e._len e._en structure-s
.o @sem option covstructure()@

.e [SEM] sem option from()
.c manual
.t Specifying starting values
.k sem struc-tural equation-s model-ing stat-istics opt-ions from start-ing
.k value-s converg-ence
.o @sem option from()@

.e [SEM] sem option method()
.c manual
.t Specifying method and calculation of VCE
.k sem struc-tural equation-s model-ing stat-istics opt-ions meth-ods
.k vce vcetype adf asymp-totic distrib-utions free ml max-imum like-lihood
.k mlmv miss-ing value-s variance-s cov-ariances matr-ix matr-ices
.k stand-ard err-ors
.o @sem option method()@

.e [SEM] sem option noxconditional
.c manual
.t Computing means, etc. of obs. exog. var.
.k sem struc-tural equation-s model-ing stat-istics opt-ions noxconditional
.k forcexconditional x cond-itional force
.o @sem option noxconditional@

.e [SEM] sem option reliability()
.c manual
.t Fraction of variance not due to meas. error
.k sem struc-tural equation-s model-ing stat-istics opt-ions reliab-ility
.k meas-urements err-ors variance-s
.o @sem option reliability()@

.e [SEM] sem option select()
.c manual
.t Using sem with summary statistics data
.k sem struc-tural equation-s model-ing stat-istics ssd summ-ary data
.k select opt-ions group-s
.o @sem option select()@

.e [SEM] sem path notation
.c manual
.t Command syntax for path diagrams
.k sem struc-tural equation-s model-ing stat-istics path-s nota-tion
.k diagr-ams constrain-ts relax-ing specify-ing opt-ions cov-ariances
.k variance-s mean-s group-s start-ing value-s synt-ax command-s
.k mean-s
.o @sem path notation@

.e [SEM] sem postestimation
.c manual
.t Postestimation tools for sem
.k sem struc-tural equation-s model-ing stat-istics command-s post-estimations
.o @sem postestimation@

.e [SEM] sem reporting options
.c manual
.t Options affecting reporting of results
.k sem struc-tural equation-s model-ing stat-istics report-ing report-s
.k opt-ions coeflegend legend-s coef-ficients suppress-es display-ing
.k table-s classif-ications param-eters conf-idence level-s interv-als
.k footnote-s constrain-ts beta value-s stand-ardized label-s
.o @sem reporting options@

.e [SEM] sem ssd options
.c manual
.t Options for use with summary statistics data
.k sem struc-tural equation-s model-ing stat-istics ssd summ-ary data
.k opt-ions select forcecorrelations corr-elations pool-ing group-s
.k if expr-essions
.o @sem ssd options@

.e [SEM] sem syntax options
.c manual
.t Options affecting interpretation of syntax
.k sem struc-tural equation-s model-ing stat-istics synt-ax opt-ions latent
.k var-iables name-s nocapslatent
.o @sem syntax options@

.e [SEM] ssd
.c manual
.t Making summary statistics data
.k sem struc-tural equation-s model-ing stat-istics creat-ed creat-ing
.k summ-ary data ssd addgroup add group-s remov-e status review-s
.k build set describ-e list-s repair
.o @ssd@

.e [SEM] test
.c manual
.t Wald test of linear hypotheses
.k sem struc-tural equation-s model-ing stat-istics post-estimations
.k test-s wald linear hyp-othesis hyp-otheses
.o @sem test@

.e [SEM] testnl
.c manual
.t Wald test of nonlinear hypotheses
.k sem struc-tural equation-s model-ing stat-istics hyp-othesis hyp-otheses
.k nonlinear wald test-s post-estimations testnl
.o @sem testnl@

.e [SEM] Glossary
.c manual
.t Glossary
.k sem struc-tural equation-s model-ing stat-istics glossary
.o @sem Glossary@

.e [SEM] References
.c manual
.t References
.k sem struc-tural equation-s model-ing stat-istics refer-ences
.o @sem References@

.e [ST] survival analysis
.c manual
.t Intro. to survival anal. & epidem. tables commands
.k intro-duction stat-istics model-s event-s data-sets set-s
.k surviv-al fail-ure anal-ysis time command-s duration
.k epi-demiological epi-demiology tabl-es tab-ulate reliab-ility
.o @survival analysis@

.e [ST] ct
.c manual
.t Count-time data
.k ct stat-istics count-time time data-sets set-s event st
.k surviv-al fail-ure anal-ysis duration reliab-ility model-s
.o @ct@

.e [ST] ctset
.c manual
.t Declare data to be count-time data
.k ctset ct stat-istics count-time time data-sets set-s event
.k surviv-al fail-ure anal-ysis duration reliab-ility model-s st
.o @ctset@

.e [ST] cttost
.c manual
.t Convert count-time data to survival-time data
.k cttost stat-istics count-time time data-sets set-s survival-time
.k surviv-al fail-ure anal-ysis reliab-ility duration model-s event st ct
.o @cttost@

.e [ST] discrete
.c manual
.t Discrete-time survival analysis
.k discrete surviv-al anal-ysis fail-ure time model-s reliab-ility duration
.k event

.e [ST] epitab
.c manual
.t Tables for epidemiologists
.k ir-i cs-i cc-i mcc-i tabodds mhodds epitab stat-istics
.k tabl-es epi-demiological epi-demiology tab-ulate epi-demiologist
.k conf-idence interv-als based std smr morbid-ity
.k odds ratio-s risk-s rate-s relativ-e diff-erences mortal-ity
.k stand-ardized stand-ardization stand-ardised stand-ardisation
.k test-s test-ing conting-ency model-s fail-ure refer-ence
.k fourfold hyp-othesis hyp-otheses immed-iate
.k case-controls control-s command-s data
.k match-ed match-es match-ing 1:1 1:k data preva-lence
.k cumul-ative incid-ence person time expos-ed pop-ulations expos-ures
.k etiologic frac-tions prevent-ed excess fisher-s exact
.k mantel-haenszel haenszel mcnemar-s chi-squared sq-uared chi-2 2
.k attrib-utable woolf cornfield propor-tions strat-ified strat-um strat-a
.k heterog-eneity homog-eneity goodness fit follow-up up
.k strat-ification binom-ial trend cohort study studies gene-tics
.o @epitab@

.e [ST] ltable
.c manual
.t Life tables for survival data
.k ltable stat-istics graph-s graph-ics graph-ing
.k life tabl-es data
.k haz-ards model-s conf-idence interv-als display actuar-ial
.k surviv-al fail-ure anal-ysis time duration reliab-ility event
.k censor-ing censor-ed log-ranks rank-s cohort like-lihood ratio-s test-s
.k homog-eneity equal-ity func-tions
.o @ltable@

.e [ST] snapspan
.c manual
.t Convert snapshot data to time-span data
.k snapspan stat-istics data-sets set-s time-span span snapshot
.k surviv-al anal-ysis fail-ure model-s reliab-ility event
.k duration event convert-s var-iables
.o @snapspan@

.e [ST] st
.c manual
.t Survival-time data
.k st stat-istics surviv-al distrib-utions anal-ysis fail-ure time model-s data
.k censor-ing censor-ed duration
.k stat-istics graph-ics equal-ity
.k exp-onential weib-ull log-ranks rank-s graph-s baseline haz-ards graph-ing
.k nonpar-ametric cox event reliab-ility
.o @st@

.e [ST] st_is
.c manual
.t Survival analysis subroutines for programmers
.k st_is 2 st_show st_ct stat-istics prog-rams prog-ramming
.k surviv-al fail-ure anal-ysis time st reliab-ility duration model-s
.k event
.o @st_is@

.e [ST] stbase
.c manual
.t Form baseline dataset
.k st-base stat-istics data-sets set-s baseline
.k surviv-al fail-ure anal-ysis time reliab-ility duration model-s
.k event sing-le mult-iple record form
.o @stbase@

.e [ST] stci
.c manual
.t Confidence intervals for means & percentiles of survival time
.k st-ci stat-istics conf-idence interv-als surviv-al time-s
.k mean-s percent-iles fail-ure anal-ysis reliab-ility duration
.k odds ratio-s risk-s incid-ence rate-s surviv-or func-tions model-s
.k event plot-s graph-s graph-ing surviv-or
.o @stci@

.e [ST] stcox
.c manual
.t Cox proportional hazards model
.k st-cox stat-istics est-imation command-s
.k propor-tional haz-ards model-s breslow efron
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k pw-eights clus-tering reg-ressions ratio-s rate-s
.k ml-e max-imum like-lihood nelson aalen
.k surviv-al fail-ure anal-ysis time
.k relativ-e risk-s data duration resid-uals event
.k baseline vary-ing reg-ressors censor-ed censor-ing reliab-ility
.k huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.k efficient strat-a strat-um strat-ified strat-ification frail-ty
.k share-d
.o @stcox@

.e [ST] stcox PH-assumption tests
.c manual
.t Tests of proportional-hazards assumption
.k st-phplot stat-istics stcoxkm graph-s graph-ics graph-ing kaplan-meier
.k surviv-al time data fail-ure anal-ysis reliab-ility duration meier
.k st-cox cox propor-tional haz-ards assump-tions curv-es plot-s
.k diagnos-tics test-s test-ing model-s event schoenfeld resid-uals estat
.k phtest share-d frail-ty
.o @stcox PH assumption tests@

.e [ST] stcox postestimation
.c manual
.t Postestimation tools for stcox
.k estat concord-ance st-curve
.k stat-istics est-imation anal-ysis duration
.k st-cox cox post-estimations surviv-al fail-ure
.k graph-s graph-ics graph-ing plot-s curv-es reliab-ility
.k test-s test-ing propor-tional haz-ards assump-tions cumul-ative func-tions
.k harrell-s c schoenfeld scale-d resid-uals somer-sd d
.k cox-snell snell martingale deviance dfbeta-s lmax ldisplace
.k gonen heller time model-s event log surviv-or displacement
.k like-lihood lmax meas-ures influ-ence frail-ties baseline diagnos-tics
.k pred-ictions
.o @stcox postestimation@

.e [ST] stcrreg
.c manual
.t Competing-risks regression
.k stat-istics est-imation command-s reliab-ility
.k surviv-al time data fail-ure anal-ysis robust duration
.k st-crreg competing risk-s reg-ressions max-imum like-lihood model-s
.k event incid-ence curv-es clust-ers
.o @stcrreg@

.e [ST] stcrreg postestimation
.c manual
.t Postestimation tools for stcrreg
.k stat-istics est-imation surviv-al fail-ure anal-ysis duration
.k st-crreg competing risk-s stcurve post-estimations time model-s
.k reliab-ility event pred-ictions subhaz-ards ratio-s relativ-e
.k kaplan-meier meier surviv-or curv-es efficient scor-es resid-uals
.k dfbeta schoenfeld pseudo-likelihoods
.o @stcrreg postestimation@

.e [ST] stcurve
.c manual
.t Plot survival, hazard, cum. haz., or cum. incidence function
.k st-curve
.k stat-istics est-imation
.k st-cox cox streg post-estimations command-s anal-ysis
.k graph-s graph-ics graph-ing plot-s curv-es fail-ure time duration
.k cumul-ative surviv-al haz-ards func-tions frail-ty incid-ence model-s
.k reliab-ility event stcrreg surviv-or cif share-d
.o @stcurve@

.e [ST] stdescribe
.c manual
.t Describe survival-time data
.k st-describe stat-istics describ-e data gap-s model-s
.k surviv-al fail-ure anal-ysis time reliab-ility duration event
.o @stdescribe@

.e [ST] stfill
.c manual
.t Fill in by carrying forward values of covariates
.k st-fill stat-istics covariate-s fill baseline model-s
.k surviv-al time data fail-ure anal-ysis reliab-ility duration event
.o @stfill@

.e [ST] stgen
.c manual
.t Generate variables reflecting entire histories
.k st-gen stat-istics gen-erate var-iables min-age max-age when-0 count-0
.k surviv-al time data fail-ure anal-ysis reliab-ility duration hasgap
.k ever never always histor-ies histor-y gap-s avgage nfailures ngaps gaplen
.k model-s event
.o @stgen@

.e [ST] stir
.c manual
.t Report incidence-rate comparison
.k st-ir stat-istics surviv-al time data fail-ure anal-ysis
.k incid-ence rate-s compar-isons compar-e reliab-ility duration
.k conf-idence interv-als ratio-s diff-erences model-s event
.o @stir@

.e [ST] stpower
.c manual
.t Sample-size, power, and effect-size det. for survival anal.
.k st-power power stat-istics surviv-al time data fail-ure anal-ysis
.k samp-les samp-ling size effect-s determ-ination cox logrank exp-onential
.k func-tions test-s test-ing propor-tional hazard reg-ressions model-s
.k wald rate-s param-etric prob-ability prob-abilities calcul-ate
.k event ratio-s log-s coef-ficients duration reliab-ility
.o @stpower@

.e [ST] stpower cox
.c manual
.t Sample, power, & effect size for Cox prop. haz. model
.k st-power power cox stat-istics surviv-al time data fail-ure anal-ysis
.k samp-les samp-ling size effect-s propor-tional hazard model-s
.k est-imation event ratio-s log-s coef-ficients calcul-ate
.k determ-ination prob-abilities prob-ability duration
.k reliab-ility
.o @stpower cox@

.e [ST] stpower exponential
.c manual
.t Sample size and power for the exponential test
.k st-power power exp-onential stat-istics surviv-al time data fail-ure
.k anal-ysis samp-les samp-ling size test-s test-ing hazard rate-s
.k prob-abilities prob-ability determ-ination func-tions param-etric
.k log-s calcul-ate model-s duration reliab-ility event
.o @stpower exponential@

.e [ST] stpower logrank
.c manual
.t Sample, power, and effect size for log-rank test
.k st-power power log-ranks rank-s stat-istics surviv-al time data fail-ure
.k anal-ysis effect-s size samp-les samp-ling test-s test-ing hazard rate-s
.k prob-abilities prob-ability determ-ination func-tions param-etric
.k log-s calcul-ate model-s duration reliab-ility event
.o @stpower logrank@

.e [ST] stptime
.c manual
.t Calculate person-time, incidence rates, and SMR
.k st-ptime stat-istics person time-s incid-ence rate-s smr-s
.k stand-ardized stand-ardised reliab-ility
.k mortal-ity morbid-ity ratio-s surviv-al year-s jack-knifed jack-nifed
.k conf-idence interv-als fail-ure anal-ysis model-s duration event
.o @stptime@

.e [ST] strate
.c manual
.t Tabulate failure rates and rate ratios
.k st-rate stat-istics mantel-haenszel haenszel mantel-cox cox log-linear
.k surviv-al time data fail-ure anal-ysis reliab-ility duration linear
.k tab-ulate rate-s ratio-s smr-s stand-ard mortal-ity trend test-s test-ing
.k log-rank rank stmh stmc model-s event
.o @strate@, @stmh@, @stmc@

.e [ST] streg
.c manual
.t Parametric survival models
.k streg stat-istics est-imation command-s prob-ability weight-ing
.k robust meth-ods samp-ling samp-les clus-ters pw-eights clus-tering
.k st scor-es nelson aalen surviv-al time data fail-ure anal-ysis
.k weib-ull reg-ressions exp-onential gompertz log-normal norm-al
.k log-logistic ml-e max-imum like-lihood haz-ards propor-tional logis-tic
.k ratio-s model-s gamma func-tions
.k distrib-utions censor-ed censor-ing general-ized kaplan-meier meier
.k accel-erated duration reliab-ility relativ-e risk-s cox huber
.k white-s weight-ed stand-ard err-ors std bias-ed sandw-ich cox-snell snell
.k resid-uals martingale deviance param-etric cumul-ative share-d
.k frail-ty heterog-eneity strat-a strat-um strat-ified event surviv-or
.o @streg@

.e [ST] streg postestimation
.c manual
.t Postestimation tools for streg
.k st-curve
.k stat-istics est-imation anal-ysis
.k streg post-estimations fail-ure duration
.k graph-s graph-ics graph-ing plot-s curv-es model-s event
.k cumul-ative surviv-al haz-ards func-tions frail-ty time reliab-ility
.k med-ians mean-s ratio-s cox-snell snell martingale resid-uals deviance
.o @streg postestimation@

.e [ST] sts
.c manual
.t Generate, graph, list, & test the survivor & cum. hazard func.
.k sts gen-erate graph-s graph-ics graph-ing list-s
.k test-s test-ing stat-istics st model-s event
.k nelson aalen surviv-al time data fail-ure anal-ysis reliab-ility duration
.k greenwood kaplan-meier meier surviv-or cumul-ative haz-ards func-tions
.o @sts@

.e [ST] sts generate
.c manual
.t Create var. containing survivor and related functions
.k sts gen-erate stat-istics event
.k surviv-al time data fail-ure anal-ysis st reliab-ility duration
.k creat-ed var-iables contain-ing surviv-or func-tions nelson aalen
.k kaplan-meier meier cumul-ative haz-ards integr-ated greenwood model-s
.o @sts generate@

.e [ST] sts graph
.c manual
.t Graph the survivor and cumulative hazard functions
.k sts graph-s graph-ics graph-ing stat-istics st model-s
.k surviv-al time data fail-ure anal-ysis reliab-ility duration
.k surviv-or func-tions cumul-ative haz-ards nelson aalen kaplan-meier meier
.k greenwood conf-idence band-s event
.o @sts graph@

.e [ST] sts list
.c manual
.t List the survivor or cumulative hazard function
.k sts list-s stat-istics event
.k surviv-al time data fail-ure anal-ysis st reliab-ility duration
.k surviv-or func-tions cumul-ative haz-ards nelson aalen kaplan-meier meier
.k integr-ated greenwood conf-idence interv-als model-s
.o @sts list@

.e [ST] sts test
.c manual
.t Test equality of survivor functions
.k sts stat-istics surviv-al time data fail-ure anal-ysis st reliab-ility
.k duration test-s test-ing equal-ity surviv-or func-tions wilcox-on log-ranks
.k rank-s strat-a strat-um strat-ified exp-onential scor-es breslow gehan cox
.k nonpar-ametric kaplan-meier meier tarone ware tware fleming
.k harrington peto prentice trend model-s event
.o @sts test@

.e [ST] stset
.c manual
.t Declare data to be survival-time data
.k st-set streset stat-istics model-s event
.k surviv-al time data-sets set-s fail-ure anal-ysis reliab-ility duration
.o @stset@

.e [ST] stsplit
.c manual
.t Split and join time-span records
.k st stsplit stjoin stat-istics
.k surviv-al time-span data fail-ure anal-ysis reliab-ility duration
.k split join span record-s lexis model-s event
.o @stsplit@

.e [ST] stsum
.c manual
.t Summarize survival-time data
.k stsum stat-istics incid-ence rate-s risk
.k surviv-al time data fail-ure anal-ysis st reliab-ility duration
.k summ-arize summ-ary descrip-tive kaplan-meier meier model-s event
.o @stsum@

.e [ST] sttocc
.c manual
.t Convert survival-time data to case-control data
.k sttocc stat-istics
.k surviv-al time data-sets set-s fail-ure anal-ysis st reliab-ility duration
.k case-controls control-s convert model-s event
.o @sttocc@

.e [ST] sttoct
.c manual
.t Convert survival-time data to count-time data
.k sttoct stat-istics
.k surviv-al time data-sets set-s fail-ure anal-ysis st reliab-ility duration
.k convert count-s total-s model-s event
.o @sttoct@

.e [ST] stvary
.c manual
.t Report whether variables vary over time
.k stvary stat-istics
.k surviv-al time data fail-ure anal-ysis st reliab-ility duration
.k var-iables vary-ing model-s event
.o @stvary@

.e [ST] Glossary
.c manual
.t Glossary
.k surviv-al fail-ure anal-ysis time duration reliab-ility
.k epi-demiological epi-demiology tabl-es tab-ulate
.k glossary st model-s event
.o @st Glossary@

.e [SVY] survey
.c manual
.t Introduction to survey commands
.k svy-: stat-istics survey-s command-s intro-duction
.k est-imation reg-ressions
.k psu deft meft deff meff
.k clus-ters samp-les samp-ling strat-ified strat-a data
.k strat-um design-s pw-eights robust meth-ods huber clus-tering clus-tered
.k prob-ability weight-ing weight-s white-s
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k sdr linearized successive diff-erences repli-cates boot-strapped
.o @survey@

.e [SVY] bootstrap_options
.c manual
.t More options for bootstrap variance estimation
.k stat-istics svy-: survey-s opt-ions bootstrap_options
.k boot-strapped variance-s est-imation
.o @bootstrap_options@

.e [SVY] brr_options
.c manual
.t More options for BRR variance estimation
.k stat-istics svy-: survey-s opt-ions
.k brr bal-anced repeat-ed replic-ations
.k fay-s hadamard variance-s est-imation brr_options
.o @brr_options@

.e [SVY] direct standardization
.c manual
.t Direct stand. of means, proportions, & ratios
.k stat-istics svy-: survey-s
.k stand-ardized stand-ardization direct stand-ardisation stand-ardised stdize
.k mean-s propor-tions ratio-s

.e [SVY] estat
.c manual
.t Postestimation statistics for survey data
.k stat-istics svy-: survey-s data-set set-s
.k est-imation post-estimations command-s
.k estat svyset effect-s lcef-fects size vce
.k deff deft meff meft design-s srs-subpop subpop-ulations pop-ulations
.k cv coef-ficients variation gof goodness fit sd stand-ard dev-iations
.k std strata singleton certainty
.o @svy estat@

.e [SVY] jackknife_options
.c manual
.t More options for jackknife variance est.
.k stat-istics svy-: survey-s opt-ions
.k variance-s est-imation jack-knifed jack-nifed
.o @jackknife_options@

.e [SVY] ml for svy
.c manual
.t Maximum pseudolikelihood estimation for survey data
.k stat-istics ml-e prog-ramming prog-rams est-imation max-imum like-lihood
.k command-s pseudo survey-s svy-:

.e [SVY] poststratification
.c manual
.t Poststratification for survey data
.k stat-istics svy-: survey-s data
.k strat-a strat-um strat-ified strat-ification
.k post-stratum post-stratified post-stratification
.k postweight svyset

.e [SVY] sdr_options
.c manual
.t More options for SDR variance estimation
.k stat-istics svy-: survey-s opt-ions
.k sdr successive diff-erences replic-ations
.k variance-s est-imation sdr_options
.o @sdr_options@

.e [SVY] subpopulation estimation
.c manual
.t Subpopulation estimation for survey data
.k stat-istics svy-: survey-s data
.k est-imation subpop-ulations pop-ulations

.e [SVY] svy
.c manual
.t The survey prefix command
.k svy-: : survey-s data command-s prefix stat-istics intro-duction
.k est-imation psu subpop-ulations pop-ulations
.k clus-ters samp-les samp-ling strat-ified strat-a
.k strat-um design-s pw-eights robust meth-ods huber clus-tering clus-tered
.k prob-ability weight-ing weight-s white-s
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k sdr successive diff-erences boot-strapped
.o @svy@

.e [SVY] svy bootstrap
.c manual
.t Bootstrap for survey data
.k svy-: bootstrap-: : survey-s data stat-istics
.k est-imation
.k boot-strapped variance-s subpop-ulations pop-ulations
.o @svy bootstrap@

.e [SVY] svy brr
.c manual
.t Balanced repeated replication for survey data
.k svy-: brr-: : survey-s data stat-istics
.k est-imation bal-anced repeat-ed replic-ations
.k fay-s hadamard variance-s subpop-ulations pop-ulations
.o @svy brr@

.e [SVY] svy estimation
.c manual
.t Estimation commands for survey data
.k svy-: est-imation survey-s data command-s stat-istics
.k svyset design-s character-istics
.k reg-ressions subpop-ulations pop-ulations sem
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed sdr
.k heckman selec-tion model-s heckprob probit
.k linear ratio-s multiv-ariate ml-e pw-eights
.k max-imum like-lihood robust meth-ods clus-ters clus-tering clus-tered
.k samp-ling samp-les glm nl
.k bina-ry outcome-s dicho-tomous intreg interv-al cnsreg
.k logis-tic logit censor-ing censor-ed iv-reg 2sls
.k instrum-ental var-iables stage least sq-uares nbreg gnbreg oprobit tobit
.k system-s simult-aneous eq-uations
.k endog-enous prob-ability weight-ing
.k haz-ard trunc-ated
.k huber white-s weight-s weight-ed stand-ardized std sandw-ich treatreg
.k mean-s psu fpc
.k variance-s strat-ified strat-a strat-um constrain-ed constrain-ts
.k stand-ardization direct stand-ardisation stand-ardised truncreg
.k mlogit multin-omial polyt-omous cat-egorical streg
.k neg-ative binom-ial expos-ures poisson distrib-utions total-s
.k stcox surviv-al fail-ure anal-ysis time count-s
.k reliab-ility duration ologit order-ed propor-tional propor-tions
.k structur-al two-stage dev-iations ordinary ols
.k nonlin-ear
.k biprobit cloglog hetprob scobit skew-ed clogit mprobit slogit zinb zip
.k tnbreg tpoisson zero inflated trun-cated ivprobit ivreg-ress ivtobit
.k boot-strapped successive diff-erences general-ized treat-ments
.k effect-s complem-entary hetero-skedasticity
.k stereo-typed finite response-s bivar-iate
.o @svy estimation@

.e [SVY] svy jackknife
.c manual
.t Jackknife estimation for survey data
.k svy-: jack-knife: jack-: : survey-s data command-s stat-istics
.k est-imation jack-knifed jack-nifed
.k variance-s subpop-ulations pop-ulations
.o @svy jackknife@

.e [SVY] svy postestimation
.c manual
.t Postestimation tools for svy
.k stat-istics est-imation
.k svy-: survey-s post-estimations
.o @svy postestimation@

.e [SVY] svy sdr
.c manual
.t Successive difference replication for survey data
.k svy-: sdr-: : survey-s data command-s stat-istics
.k est-imation successive diff-erences replic-ations
.k variance-s subpop-ulations pop-ulations
.o @svy sdr@

.e [SVY] svy: tabulate oneway
.c manual
.t One-way tables for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k stand-ardized stand-ardization direct stand-ardisation stand-ardised stdize
.k cat-egorical summ-arize var-iables descrip-tive
.k propor-tions distrib-utions mode-s uniq-ue value-s
.k tab-s tab-ulate tab-ulations tabl-es freq-uencies freq-uency one-way
.o @svy: tabulate oneway@

.e [SVY] svy: tabulate twoway
.c manual
.t Two-way tables for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k stand-ardized stand-ardization direct stand-ardisation stand-ardised stdize
.k cat-egorical summ-arize var-iables descrip-tive
.k test-s test-ing propor-tions distrib-utions equal-ity mode-s
.k assoc-iations meas-ures hyp-othesis hyp-otheses indep-endence outcome-s
.k chi-squared sq-uared chi-2 2 uniq-ue value-s
.k conting-ency tabl-es freq-uencies freq-uency
.k cross-tabulations tab-s attrib-ute tab-ulate tab-ulations two-way
.o @svy: tabulate twoway@

.e [SVY] svydescribe
.c manual
.t Describe survey data
.k svydes-cribe stat-istics psu fpc
.k survey-s svy stat-istics clus-ters samp-les samp-ling
.k strat-ified strat-a data
.k strat-um design-s pw-eights meth-ods huber clus-tering clus-tered
.k prob-ability weight-ing weight-s white-s command-s
.o @svydescribe@

.e [SVY] svymarkout
.c manual
.t Mark obs. for exclusion based on survey characteristics
.k prog-rams prog-ramming svy stat-istics survey-s
.k svymarkout markout mark-sample
.k obs-ervations
.o @svymarkout@

.e [SVY] svyset
.c manual
.t Declare survey design for dataset
.k svyset stat-istics command-s psu fpc strat-a strat-ified pw-eights
.k var-iables survey-s data-set set-s set-tings
.k svy weight-s brrweight jkrweight sdrweight bsrweight fay-s
.k strat-a strat-um strat-ified strat-ification
.k post-stratum post-stratified post-stratification postweight
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k sdr successive diff-erences boot-strapped
.o @svyset@

.e [SVY] variance estimation
.c manual
.t Variance estimation for survey data
.k svy-: stat-istics survey-s
.k variance-s est-imation robust
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed vce
.k est-imators boot-strapped meth-ods repli-cates repeat-ed weight-s
.k delete one k successive diff-erences sdr total-s strat-a strat-um
.k strat-ified clust-ers clust-ered clust-ering samp-ling psu fpc
.k primary unit-s finite pop-ulations correct-ion ratio-s census
.k data-sets set-s certainty linearized linearization secondary
.k ssu stage single two

.e [SVY] Glossary
.c manual
.t Glossary
.k glossary
.k svy-: survey-s
.o @svy Glossary@

.e [TS] time series
.c manual
.t Introduction to time-series commands
.k time-series series arch est-imation est-imators reg-ressions
.k autoregr-essive cond-itional model-s mov-ing ave-rages dfuller intro-duction
.k garch saarch tarch aarch narch narchk abarch atarch sdgarch earch arima
.k egarch parch tparch aparch nparch nparchk pgarch arma in mean season-ally
.k autocor-relations forecast-ing nonstatio-nary statio-nary stat-istics
.k integr-ated kalman filter ar ma disturb-ances state space structur-al
.k cumsp diff-erences corrgram ac pac fft correlo-grams partial needle-s
.k fast fourier transfo-rmations transfo-rms
.k spectr-um cumul-ative spectr-al distrib-utions
.k dfgls test-s test-ing unit-s root-s trend dickey fuller coint-egration
.k lead-s lag-s lag-ged newey-west west std stand-ard err-ors pergram dens-ity
.k serial-ly corr-elations hetero-skedasticity hetero-scedasticity archlm
.k periodo-grams graph-s graph-ics graph-ing pperron phillips-perron perron
.k prais-winsten hildreth-lu lu winsten durb-inh watson cochrane-orcutt orcut-t
.k engle stochastic bgodfrey h breusch godfrey durbina dwstat diagnos-tics
.k tssmooth smooth-ing smooth-ers noise holt winters vec-tors granger vargranger
.k var-s svar-s impulse response-s func-tions irf-s oirf-s fevd-s fcast
.k cirf-s co-irfs sirf-s sfevd-s pair-wise caus-ality lutkepohl coint-egrating
.k varstable varsoc varwle varlmar varnorm stable stabil-ity jarque bera
.k wntestb white bartlett-s wntestq portmanteau q box pierce ljung
.k veclmar vecnorm vecrank vecstable vecm correct-ions multiv-ariate
.o @time@

.e [TS] arch
.c manual
.t Autoregressive conditional heterosced. family of estimators
.k arch stat-istics est-imation est-imators command-s reg-ressions
.k time-series series autoregr-essive cond-itional model-s lag-s lead-s
.k hetero-scedasticity hetero-skedasticity robust meth-ods scor-es
.k garch saarch tarch aarch narch narchk abarch atarch sdgarch earch
.k egarch parch tparch aparch nparch nparchk pgarch arma in mean season-ally
.k autocor-relations forecast-ing nonstatio-nary statio-nary diff-erences
.k asym-metric asym-metry mov-ing ave-rages nonlin-ear
.k thresh-old power autoregr-essions general-ized
.o @arch@

.e [TS] arch postestimation
.c manual
.t Postestimation tools for arch
.k stat-istics est-imation
.k arch post-estimations forecast-s dynamic
.k time-series series
.o @arch postestimation@

.e [TS] arfima
.c manual
.t Autoregressive fractionally integrated moving-average models
.k stat-istics est-imation arfima ts
.k time-series series autoregr-essive frac-tionally integr-ated mov-ing
.k ave-rages model-s robust long-s mem-ory process-es autocor-relations
.k func-tions statio-nary
.o @arfima@

.e [TS] arfima postestimation
.c manual
.t Postestimation tools for arfima
.k stat-istics est-imation arfima ts time-series series post-estimations
.k forecast-s dynamic
.o @arfima postestimation@

.e [TS] arima
.c manual
.t ARIMA, ARMAX, and other dynamic regression models
.k arima stat-istics est-imation reg-ressions autocor-relations
.k time-series series autoregr-essive integr-ated mov-ing ave-rages model-s
.k kalman filter arma ar ma disturb-ances robust meth-ods scor-es lag-s lead-s
.k forecast-ing state space nonstatio-nary statio-nary structur-al
.k diff-erences season-ally command-s autoregr-essions dynamic forecast-s
.o @arima@

.e [TS] arima postestimation
.c manual
.t Postestimation tools for arima
.k stat-istics est-imation
.k arima post-estimations forecast-s dynamic
.k time-series series
.o @arima postestimation@

.e [TS] corrgram
.c manual
.t Tabulate and graph autocorrelations
.k corrgram ac pac stat-istics graph-s graph-ics graph-ing lag-s lead-s fft
.k correlo-grams time-series series autocor-relations partial needle-s
.k fast fourier transfo-rmations transfo-rms
.o @corrgram@

.e [TS] cumsp
.c manual
.t Cumulative spectral distribution
.k cumsp stat-istics time-series series freq-uencies amplitude-s spectr-um
.k cumul-ative spectr-al distrib-utions func-tions samp-le
.k graph-s graph-ics graph-ing
.o @cumsp@

.e [TS] dfactor
.c manual
.t Dynamic-factor models
.k stat-istics time-series series est-imation command-s
.k dfactor dynamic factor-s model-s multiv-ariate reg-ressions
.k max-imums like-lihood ml-e exog-enous latent robust
.k autoregr-essive autoregr-essions vec-s vec-tors
.o @dfactor@

.e [TS] dfactor postestimation
.c manual
.t Postestimation tools for dfactor
.k dfactor stat-istics time-series series
.k post-estimations est-imation
.k innovat-ions dynamic forecast-ing forecast-s
.o @dfactor postestimation@

.e [TS] dfgls
.c manual
.t DF-GLS unit-root test
.k dfgls stat-istics time-series series test-s test-ing unit-s root-s trend
.k dickey fuller coint-egration lag-s lag-ged gls general-ized least sq-uares
.k coint-egrating
.o @dfgls@

.e [TS] dfuller
.c manual
.t Augmented Dickey-Fuller unit-root test
.k dfuller stat-istics time-series series test-s test-ing unit-s root-s
.k dickey fuller coint-egration coint-egrating lag-s lag-ged trend
.o @dfuller@

.e [TS] fcast compute
.c manual
.t Dynamic forecasts of dep. variables after var/svar/vec
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k fcast var-s svar-s vec-s vecm-s dynamic forecast-ing structur-al exog-enous
.k stand-ard err-ors std conf-idence interv-als correct-ions model-s
.k est-imation post command-s compute forecast-s
.o @fcast compute@

.e [TS] fcast graph
.c manual
.t Graph forecasts of variables from fcast compute
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k fcast var-s svar-s dynamic forecast-ing structur-al exog-enous
.k stand-ard err-ors std conf-idence interv-als graph-s graph-ics graph-ing
.k est-imation post command-s vec-s vecm-s correct-ions model-s
.o @fcast graph@

.e [TS] haver
.c manual
.t Load data from Haver Analytics database
.k time-series series
.k haver analytics data-sets set-s manage-ment load-ing input-ting input-ing
.k read record-s transfe-rring database base haverdll dlxapi32
.k import-ing
.o @haver@

.e [TS] irf
.c manual
.t Create and analyze IRFs, dynamic-multiplier functions, and FEVDs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s impulse response-s func-tions intro-duction
.k irf-s .irf oirf-s fevd-s err-ors variance-s decomp-osition orthog-onalized
.k cirf-s co-irfs sirf-s sfevd-s cumul-ative chol-esky lag-s lag-ged
.k est-imation post command-s graph-s graph-ics graph-ing vrf .vrf
.k vec-s vecm-s correct-ions
.o @irf@

.e [TS] irf add
.c manual
.t Add results from an IRF file to the active IRF file
.k data-sets set-s manage-ment time-series series irf-s add var-s svar-s
.k rename name-s .irf vec-s vecm-s
.o @irf add@

.e [TS] irf cgraph
.c manual
.t Combine graphs of IRFs, dynamic-mult. functions, & FEVDs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s impulse response-s func-tions
.k irf-s oirf-s fevd-s err-ors variance-s decomp-osition orthog-onalized
.k cirf-s co-irfs sirf-s sfevd-s cumul-ative chol-esky irf-s lag-s lag-ged
.k est-imation post command-s graph-s graph-ics graph-ing comb-ine
.k vec-s vecm-s correct-ions cgraph
.o @irf cgraph@

.e [TS] irf create
.c manual
.t Obtain IRFs, dynamic-multiplier functions, & FEVDs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s impulse response-s func-tions
.k irf-s oirf-s fevd-s err-ors variance-s decomp-osition orthog-onalized
.k cirf-s co-irfs sirf-s sfevd-s cumul-ative chol-esky lag-s lag-ged
.k est-imation post command-s vrf .vrf .irf creat-e
.k vec-s vecm-s correct-ions forecast-s
.o @irf create@

.e [TS] irf ctable
.c manual
.t Combine tables of IRFs, dynamic-mult. functions, & FEVDs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s impulse response-s func-tions
.k irf-s oirf-s fevd-s err-ors variance-s decomp-osition orthog-onalized
.k cirf-s co-irfs sirf-s sfevd-s cumul-ative chol-esky lag-s lag-ged
.k est-imation post command-s comb-ine
.k tabl-es tab-ulate tab-ulations vec-s vecm-s correct-ions ctable
.o @irf ctable@

.e [TS] irf describe
.c manual
.t Describe an IRF file
.k data-sets set-s manage-ment time-series series var-s svar-s irf-s
.k .vrf vrf .irf describ-e descrip-tions vec-s vecm-s
.o @irf describe@

.e [TS] irf drop
.c manual
.t Drop IRF results from the active IRF file
.k data-sets set-s manage-ment time-series series var-s svar-s irf-s
.k drop vec-s vecm-s
.o @irf drop@

.e [TS] irf graph
.c manual
.t Graph IRFs, dynamic-mult. functions, and FEVDs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s impulse response-s func-tions
.k irf-s oirf-s fevd-s err-ors variance-s decomp-osition orthog-onalized
.k cirf-s co-irfs sirf-s sfevd-s cumul-ative chol-esky lag-s lag-ged
.k est-imation post command-s graph-s graph-ics graph-ing
.k vec-s vecm-s correct-ions
.o @irf graph@

.e [TS] irf ograph
.c manual
.t Graph overlaid IRFs, dynamic-mult. func. and FEVDs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s impulse response-s func-tions overlay-ing
.k irf-s oirf-s fevd-s err-ors variance-s decomp-osition orthog-onalized
.k cirf-s co-irfs sirf-s sfevd-s cumul-ative chol-esky lag-s lag-ged
.k est-imation post command-s graph-s graph-ics graph-ing
.k vec-s vecm-s correct-ions ograph
.o @irf ograph@

.e [TS] irf rename
.c manual
.t Rename an IRF result in an IRF file
.k data-sets set-s manage-ment time-series series irf-s add var-s svar-s
.k vec-s vecm-s rename name-s
.o @irf rename@

.e [TS] irf set
.c manual
.t Set the active IRF file
.k util-ity time-series series var-s svar-s vec-s vecm-s
.k irf-s .vrf vrf .irf set file-s
.o @irf set@

.e [TS] irf table
.c manual
.t Create tables of IRFs, dynamic-mult. func. and FEVDs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s impulse response-s func-tions
.k irf-s oirf-s fevd-s err-ors variance-s decomp-osition orthog-onalized
.k cirf-s co-irfs sirf-s sfevd-s cumul-ative chol-esky irf-s lag-s lag-ged
.k est-imation post command-s tabl-es tab-ulate tab-ulations
.k vec-s vecm-s correct-ions
.o @irf table@

.e [TS] newey
.c manual
.t Regression with Newey-West standard errors
.k time-series series
.k newey-west stat-istics est-imation command-s
.k reg-ressions west std stand-ard err-ors
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k pw-eights clus-tering serial-ly corr-elations autocor-relations
.k huber white-s weight-ed bias-ed sandw-ich general-ized mom-ents gmm
.k hetero-skedasticity hetero-scedasticity hsc
.o @newey@

.e [TS] mgarch
.c manual
.t Multivariate GARCH models
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k general-ized autoregr-essive autoregr-essions cond-itional est-imation
.k hetero-skedasticity dvech ccc dcc vcc simult-aneous system-s
.o @mgarch@

.e [TS] mgarch ccc
.c manual
.t Constant conditional correlation multivariate GARCH models
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k est-imation general-ized autoregr-essive autoregr-essions cond-itional
.k hetero-skedasticity ccc constant-s corr-elations robust
.k est-imation command-s simult-aneous system-s
.o @mgarch ccc@

.e [TS] mgarch ccc postestimation
.c manual
.t Postestimation tools for mgarch ccc
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k post-estimations general-ized autoregr-essive autoregr-essions cond-itional
.k hetero-skedasticity ccc constant-s corr-elations dynamic forecast-s
.o @mgarch ccc postestimation@

.e [TS] mgarch dcc
.c manual
.t Dynamic conditional correlation multivariate GARCH models
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k est-imation general-ized autoregr-essive autoregr-essions cond-itional
.k hetero-skedasticity dcc dynamic corr-elations robust
.k est-imation command-s simult-aneous system-s
.o @mgarch dcc@

.e [TS] mgarch dcc postestimation
.c manual
.t Postestimation tools for mgarch dcc
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k post-estimations general-ized autoregr-essive autoregr-essions cond-itional
.k hetero-skedasticity dcc dynamic corr-elations forecast-s
.o @mgarch dcc postestimation@

.e [TS] mgarch dvech
.c manual
.t Diagonal vech multivariate GARCH models
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k est-imation general-ized autoregr-essive autoregr-essions cond-itional
.k hetero-skedasticity dvech diagon-als vech robust
.k est-imation command-s simult-aneous system-s
.o @mgarch dvech@

.e [TS] mgarch dvech postestimation
.c manual
.t Postestimation tools for mgarch dvech
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k post-estimations general-ized autoregr-essive autoregr-essions cond-itional
.k hetero-skedasticity dvech diagon-als vech dynamic forecast-s
.o @mgarch dvech postestimation@

.e [TS] mgarch vcc
.c manual
.t Varying conditional correlation multivariate GARCH models
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k est-imation general-ized autoregr-essive autoregr-essions cond-itional
.k hetero-skedasticity vcc cond-itional corr-elations vary-ing
.k est-imation command-s robust simult-aneous system-s
.o @mgarch vcc@

.e [TS] mgarch vcc postestimation
.c manual
.t Postestimation tools for mgarch vcc
.k mgarch multiv-ariate garch model-s time-series series stat-istics
.k post-estimations general-ized autoregr-essive autoregr-essions cond-itional
.k hetero-skedasticity vcc cond-itional corr-elations vary-ing dynamic
.k forecast-s
.o @mgarch vcc postestimation@

.e [TS] newey postestimation
.c manual
.t Postestimation tools for newey
.k stat-istics est-imation
.k newey-west post-estimations
.k time-series series
.o @newey postestimation@

.e [TS] pergram
.c manual
.t Periodogram
.k pergram stat-istics periodo-grams graph-s graph-ics graph-ing
.k time-series series spectr-al spectr-um dens-ity
.o @pergram@

.e [TS] pperron
.c manual
.t Phillips-Perron unit-root test
.k pperron stat-istics autocor-relations coint-egration coint-egrating
.k dickey fuller
.k time-series series unit-s root-s test-s test-ing phillips-perron perron lag-s
.o @pperron@

.e [TS] prais
.c manual
.t Prais-Winsten and Cochrane-Orcutt regression
.k prais-winsten stat-istics est-imation command-s hildreth-lu lu
.k winsten reg-ressions durb-in watson cochrane-orcutt orcut-t
.k time-series series linear serial-ly corr-elations autocor-relations model-s
.k robust meth-ods clus-ters clus-tering clus-tered
.o @prais@

.e [TS] prais postestimation
.c manual
.t Postestimation tools for prais
.k stat-istics est-imation
.k prais-winsten post-estimations
.k time-series series
.o @prais postestimation@

.e [TS] psdensity
.c manual
.t Parametric spectral density estimation
.k dens-ity psdensity post-estimations
.k stat-istics est-imation arima arfima ucm param-etric
.k time-series series spectr-al power spectr-um statio-nary process-es
.o @psdensity@

.e [TS] rolling
.c manual
.t Rolling-window and recursive estimation
.k roll-ing: : command-s prefix
.k stat-istics est-imation forecast-s reshape reshaping
.k win-dows recurs-ive reg-ressions time-series series
.o @rolling@

.e [TS] sspace
.c manual
.t State-space models
.k stat-istics time-series series est-imation command-s
.k sspace state space model-s max-imums like-lihood ml-e structur-al robust
.k kalman filter nonstatio-nary statio-nary varma dynamic factor-s
.k simult-aneous system-s
.o @sspace@

.e [TS] sspace postestimation
.c manual
.t Postestimation tools for sspace
.k sspace stat-istics time-series series
.k post-estimations est-imation
.k dynamic forecast-ing forecast-s
.o @sspace postestimation@

.e [TS] tsappend
.c manual
.t Add observations to a time-series dataset
.k tsappend time-series series data-sets set-s manage-ment append add
.k obs-ervations cross section-al panel-s
.o @tsappend@

.e [TS] tsfill
.c manual
.t Fill in gaps in time variable
.k tsfill fill time-series series data-sets set-s manage-ment add
.k obs-ervations panel-s cross section-al
.o @tsfill@

.e [TS] tsfilter
.c manual
.t Filter a time series, keeping only selected periodicities
.k time-series series filter keep compon-ents cyclical
.k baxter king butterworth christiano fitzgerald hodrick prescott
.k tsfilter bk bw cf hp stat-istics trend-s cycle-s stochastic
.k deterministic season-ally seasonality effect-s business
.k high pass low rand-om walk-s mov-ing ave-rages sym-metric
.k gain func-tions angular freq-uency
.o @tsfilter@

.e [TS] tsfilter bk
.c manual
.t Baxter-King time-series filter
.k time-series series filter keep trend compon-ents cyclical
.k baxter king tsfilter bk stat-istics trend-s
.k cycle-s stochastic deterministic season-ally seasonality effect-s
.k business pass band mov-ing ave-rages sym-metric gain func-tions angular
.k freq-uency
.o @tsfilter bk@

.e [TS] tsfilter bw
.c manual
.t Butterworth time-series filter
.k time-series series filter keep trend compon-ents cyclical
.k butterworth tsfilter bw stat-istics trend-s
.k cycle-s stochastic deterministic season-ally seasonality
.k effect-s business high pass gain func-tions angular freq-uency
.o @tsfilter bw@

.e [TS] tsfilter cf
.c manual
.t Christiano-Fitzgerald time-series filter
.k time-series series filter keep trend compon-ents cyclical
.k christiano fitzgerald tsfilter cf stat-istics trend-s
.k cycle-s stochastic deterministic season-ally seasonality
.k effect-s business band mov-ing ave-rages sym-metric gain func-tions angular
.k freq-uency
.o @tsfilter cf@

.e [TS] tsfilter hp
.c manual
.t Hodrick-Prescott time-series filter
.k time-series series filter keep trend compon-ents cyclical
.k hodrick prescott tsfilter hp stat-istics trend-s
.k cycle-s stochastic deterministic season-ally seasonality
.k effect-s business high pass gain func-tions angular freq-uency
.o @tsfilter hp@

.e [TS] tsline
.c manual
.t Plot time-series data
.k tsline tsrline graph-s graph-ics graph-ing time-series series line-s
.k range two-way way plot-s
.o @tsline@

.e [TS] tsreport
.c manual
.t Report time-series aspects of dataset or estimation sample
.k tsreport stat-istics time-series series data-sets set-s gap-s count-s
.k total-s
.o @tsreport@

.e [TS] tsrevar
.c manual
.t Time-series operator programming command
.k tsrevar prog-rams prog-ramming time-series series
.k oper-ators temp-orary var-iables creat-e
.o @tsrevar@

.e [TS] tsset
.c manual
.t Declare data to be time-series data
.k tsset stat-istics time-series series data-sets set-s manage-ment
.k panel-s cross section-al
.o @tsset@

.e [TS] tssmooth
.c manual
.t Smooth and forecast univariate time-series data
.k tssmooth stat-istics time-series series smooth-ing smooth-ers filter noise
.k resist-ant hann-ing nonlin-ear med-ians mov-ing ave-rages
.k weight-ed holt winters season-ally forecast-ing cross section-al
.k exp-onential double pred-ictions
.o @tssmooth@

.e [TS] tssmooth dexponential
.c manual
.t Double-exponential smoothing
.k tssmooth stat-istics time-series series smooth-ing smooth-ers filter noise
.k forecast-ing exp-onential double pred-ictions cross section-al dexponential
.o @tssmooth dexponential@

.e [TS] tssmooth exponential
.c manual
.t Single-exponential smoothing
.k tssmooth stat-istics time-series series smooth-ing smooth-ers filter noise
.k forecast-ing exp-onential pred-ictions cross section-al
.o @tssmooth exponential@

.e [TS] tssmooth hwinters
.c manual
.t Holt-Winters nonseasonal smoothing
.k tssmooth stat-istics time-series series smooth-ing smooth-ers filter noise
.k holt winters forecast-ing pred-ictions cross section-al hwinters
.o @tssmooth hwinters@

.e [TS] tssmooth ma
.c manual
.t Moving-average filter
.k tssmooth stat-istics time-series series smooth-ing smooth-ers filter noise
.k mov-ing ave-rages weight-ed forecast-ing pred-ictions cross section-al ma
.o @tssmooth ma@

.e [TS] tssmooth nl
.c manual
.t Nonlinear filter
.k tssmooth stat-istics time-series series smooth-ing smooth-ers filter noise
.k forecast-ing pred-ictions resist-ant hann-ing nonlin-ear med-ians nl
.o @tssmooth nl@

.e [TS] tssmooth shwinters
.c manual
.t Holt-Winters seasonal smoothing
.k tssmooth stat-istics time-series series smooth-ing smooth-ers filter
.k holt winters season-ally forecast-ing pred-ictions cross section-al
.k shwinters
.o @tssmooth shwinters@

.e [TS] ucm
.c manual
.t Unobserved-components model
.k ucm stat-istics time-series series unobs-erved compon-ents model-s
.k est-imation param-eters stat-istics trend-s season-ally
.k seasonality cycle-s cyclical idiosyncratic stochastic deterministic
.k effect-s rand-om walk-s drift est-imation command-s robust
.o @ucm@

.e [TS] ucm postestimation
.c manual
.t Postestimation tools for ucm
.k ucm stat-istics time-series series unobs-erved compon-ents model-s
.k est-imation param-eters post-estimation stat-istics
.o @ucm postestimation@

.e [TS] var intro
.c manual
.t Introduction to vector autoregressive models
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k forecast-ing var-s svar-s structur-al model-s impulse response-s func-tions
.k irf-s oirf-s fevd-s variance-s decomp-osition orthog-onalized
.k cirf-s co-irfs sirf-s sfevd-s cumul-ative chol-esky lag-s lag-ged
.k graph-s graph-ics graph-ing varstable varsoc varwle varlmar varnorm
.k fcast granger vargranger pair-wise caus-ality
.k autocor-relation resid-uals lagrange multipli-er lm ar
.k stable stabil-ity eigen-values norm-ality
.k selec-tion err-ors intro-duction
.o @var intro@

.e [TS] var
.c manual
.t Vector autoregression models
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k est-imation reg-ressions var-s model-s lag-s lag-ged order
.k exog-enous lutkepohl forecast-ing vec-s vecm-s command-s
.o @var@

.e [TS] var postestimation
.c manual
.t Postestimation tools for var
.k stat-istics est-imation
.k var-s post-estimations
.k time-series series
.k irf-s fcast graph-s vargranger varlmar varnorm varsoc varstable varwle
.o @var postestimation@

.e [TS] var svar
.c manual
.t Structural vector autoregressive models
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k est-imation reg-ressions var-s svar-s model-s lag-s lag-ged order
.k exog-enous lutkepohl forecast-ing structur-al constrain-ed constrain-ts
.k vec-s vecm-s command-s
.o @svar@

.e [TS] var svar postestimation
.c manual
.t Postestimation tools for svar
.k stat-istics est-imation
.k var-s svar-s post-estimations
.k time-series series
.k irf-s fcast graph-s vargranger varlmar varnorm varsoc varstable varwle
.o @svar postestimation@

.e [TS] varbasic
.c manual
.t Fit a simple VAR and graph IRFs or FEVDs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k est-imation reg-ressions var-s model-s lag-s lag-ged order
.k forecast-ing graph-s graph-ics graph-ing impulse response-s func-tions
.k irf-s oirf-s fevd-s err-ors variance-s decomp-osition orthog-onalized
.k varbasic vec-s vecm-s command-s
.o @varbasic@

.e [TS] varbasic postestimation
.c manual
.t Postestimation tools for varbasic
.k stat-istics est-imation
.k var-s varbasic post-estimations
.k time-series series
.k irf-s fcast graph-s vargranger varlmar varnorm varsoc varstable varwle
.o @varbasic postestimation@

.e [TS] vargranger
.c manual
.t Pairwise Granger causality tests after var or svar
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al lag-s lag-ged est-imation post command-s
.k granger vargranger pair-wise caus-ality caus-es test-s test-ing vec-s vecm-s
.o @vargranger@

.e [TS] varlmar
.c manual
.t LM test for residual autocorr. after var or svar
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s lag-s lag-ged
.k varlmar est-imation post command-s vec-s vecm-s
.k ar autocor-relation resid-uals lagrange multipli-er test-s test-ing lm
.o @varlmar@

.e [TS] varnorm
.c manual
.t Test for normally distributed disturbances after var or svar
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k var-s svar-s structur-al model-s lag-s lag-ged chol-esky decomp-osition
.k varnorm est-imation post command-s test-s test-ing
.k kurt-osis skew-ness norm-ality jarque bera vec-s vecm-s
.o @varnorm@

.e [TS] varsoc
.c manual
.t Obtain lag-order selection statistics for VARs and VECMs
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k varsoc var-s svar-s structur-al model-s lag-s lag-ged order lutkepohl
.k est-imation post command-s selec-tion final err-ors
.k fpe aic akaike-s info-rmation criterion bic bayes-ian hannan quinn hqic
.k vec-s vecm-s
.o @varsoc@

.e [TS] varstable
.c manual
.t Check the stability condition of VAR or SVAR estimates
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k varstable var-s svar-s structur-al model-s stable stabil-ity eigen-values
.k est-imation post command-s vec-s vecm-s
.o @varstable@

.e [TS] varwle
.c manual
.t Obtain Wald lag-exclusion statistics after var or svar
.k stat-istics time-series series autoregr-essive autoregr-essions vec-tors
.k varwle var-s svar-s structur-al model-s lag-s lag-ged order exclusion
.k est-imation post command-s test-s test-ing wald vec-s vecm-s
.o @varwle@

.e [TS] vec intro
.c manual
.t Introduction to vector error-correction models
.k stat-istics time-series series vec-s vecm-s vec-tors err-ors correct-ions
.k model-s coint-egration coint-egrating var-iables variance-s cov-ariances
.k forecast-ing impulse response-s func-tions intro-duction orthog-onalized
.k decomp-osition irf-s oirf-s fevd-s cirf-s co-irfs sirf-s sfevd-s
.k est-imation command-s graph-s graph-ics graph-ing trend
.k autoregr-essive autoregr-essions reg-ressions
.k multiv-ariate statio-nary nonstatio-nary lag-s lag-ged johansen-s
.k constrain-ed constrain-ts
.k varsoc vecrank vecstable veclmar vecnorm fcast
.o @vec intro@

.e [TS] vec
.c manual
.t Vector error-correction models
.k stat-istics time-series series vec-s vecm-s vec-tors err-ors correct-ions
.k model-s coint-egration coint-egrating var-iables test-s test-ing
.k unit-s root-s
.k est-imation command-s ml-e max-imum like-lihood trend
.k autoregr-essive autoregr-essions reg-ressions constrain-ed constrain-ts
.k multiv-ariate statio-nary nonstatio-nary lag-s lag-ged johansen-s
.o @vec@

.e [TS] vec postestimation
.c manual
.t Postestimation tools for vec
.k stat-istics est-imation
.k vec-s post-estimations
.k time-series series
.k irf-s fcast graph-s veclmar vecnorm vecstable
.o @vec postestimation@

.e [TS] veclmar
.c manual
.t Perform LM test for residual autocorrelation after vec
.k stat-istics time-series series vec-s vecm-s vec-tors err-ors correct-ions
.k model-s coint-egration coint-egrating var-iables
.k autoregr-essive autoregr-essions lm lagrange multipli-er test-s test-ing
.k ar autocor-relation resid-uals est-imation post command-s
.k multiv-ariate nonstatio-nary lag-s lag-ged johansen-s veclmar
.o @veclmar@

.e [TS] vecnorm
.c manual
.t Test for normally distributed disturbances after vec
.k stat-istics time-series series vec-s vecm-s vec-tors err-ors correct-ions
.k model-s coint-egration coint-egrating var-iables test-s test-ing
.k autoregr-essive autoregr-essions est-imation post command-s
.k multiv-ariate nonstatio-nary lag-s lag-ged johansen-s vecnorm
.k kurt-osis skew-ness norm-ality jarque bera
.o @vecnorm@

.e [TS] vecrank
.c manual
.t Estimate the cointegrating rank of a VECM
.k stat-istics time-series series vec-s vecm-s vec-tors err-ors correct-ions
.k model-s coint-egration coint-egrating var-iables rank-s trend
.k autoregr-essive autoregr-essions est-imation post command-s
.k multiv-ariate statio-nary nonstatio-nary lag-s lag-ged johansen-s vecrank
.o @vecrank@

.e [TS] vecstable
.c manual
.t Check the stability condition of VECM estimates
.k stat-istics time-series series vec-s vecm-s vec-tors err-ors correct-ions
.k model-s coint-egration coint-egrating var-iables
.k graph-s graph-ics graph-ing stable stabil-ity eigen-values
.k autoregr-essive autoregr-essions est-imation post command-s
.k multiv-ariate nonstatio-nary lag-s lag-ged johansen-s vecstable
.o @vecstable@

.e [TS] wntestb
.c manual
.t Bartlett's periodogram-based test for white noise
.k wntestb stat-istics time-series series graph-s graph-ics graph-ing
.k bartlett-s periodo-grams test-s test-ing white noise
.o @wntestb@

.e [TS] wntestq
.c manual
.t Portmanteau (Q) test for white noise
.k wntestq stat-istics time-series series portmanteau q test-s test-ing white
.k noise autocor-relations box pierce ljung
.o @wntestq@

.e [TS] xcorr
.c manual
.t Cross-correlogram for bivariate time series
.k xcorr stat-istics
.k time-series series data-sets set-s autocor-relations corr-elations lag-s
.k cross correlo-grams bivar-iate graph-s graph-ics graph-ing needle-s
.o @xcorr@

.e [TS] Glossary
.c manual
.t Glossary
.k time-series series
.k glossary ts
.o @ts Glossary@

.e [XT] xt
.c manual
.t Introduction to xt commands
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.k xt stat-istics rand-om effect-s model-s
.o @xt@

.e [XT] quadchk
.c manual
.t Check sensitivity of quadrature approximation
.k quadchk util-ity quadra-ture approx-imations check-ing gauss hermite
.k panel-s data-sets set-s
.o @quadchk@

.e [XT] vce_options
.c manual
.t Variance estimators
.k vce oim robust opg boot-strapped jack-knifed jack-nifed
.k stat-istics est-imation opt-ions
.k altern-atives variance-s panel-s data-sets set-s
.k vce_option-s xt_vce_option-s
.o @xt_vce_options@

.e [XT] xtabond
.c manual
.t Arellano-Bond linear dynamic panel-data estimation
.k xt-abond stat-istics est-imation command-s arellano bond linear
.k cross section-al time-series series panel-s data longi-tudinal est-imators
.k rand-om effect-s model-s reg-ressions autocor-related autocor-relations
.k sargan test-s test-ing robust dynamic general-ized meth-ods mom-ents gmm
.o @xtabond@

.e [XT] xtabond postestimation
.c manual
.t Postestimation tools for xtabond
.k estat abond sargan test-s test-ing corr-elations autocor-relations
.k stat-istics est-imation
.k xt-abond post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtabond postestimation@

.e [XT] xtcloglog
.c manual
.t Random-effects and population-averaged cloglog models
.k xt-cloglog stat-istics est-imation reg-ressions command-s
.k rand-om effect-s model-s pop-ulations ave-raged cloglog complem-entary
.k cross section-al time-series series panel-s data longi-tudinal log
.k bina-ry dicho-tomous outcome-s model-s quadra-ture
.k limit-s limit-ed depend-ent var-iables qualita-tive
.o @xtcloglog@

.e [XT] xtcloglog postestimation
.c manual
.t Postestimation tools for xtcloglog
.k stat-istics est-imation
.k xt-cloglog post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtcloglog postestimation@

.e [XT] xtdata
.c manual
.t Faster specification searches with xt data
.k xt-data stat-istics cross section-al time-series series panel-s
.k data-sets set-s longi-tudinal rand-om effect-s model-s
.o @xtdata@

.e [XT] xtdescribe
.c manual
.t Describe pattern of xt data
.k xt-describe stat-istics patt-erns
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.k describ-e partici-pation survey-s rand-om effect-s model-s
.o @xtdescribe@

.e [XT] xtdpd
.c manual
.t Linear dynamic panel-data estimation
.k xt-dpd stat-istics linear reg-ressions
.k cross section-al time-series series longi-tudinal robust endog-enous
.k panel-s data est-imation dynamic model-s arellano bond covariate-s
.k command-s general-ized meth-ods mom-ents gmm est-imators blundel-l
.o @xtdpd@

.e [XT] xtdpd postestimation
.c manual
.t Postestimation tools for xtdpd
.k xt-dpd stat-istics estat abond sargan
.k test-s test-ing corr-elations autocor-relations blundel-l
.k linear panel-s data est-imation dynamic model-s arellano bond
.k est-imators post-estimations
.o @xtdpd postestimation@

.e [XT] xtdpdsys
.c manual
.t Arellano-Bover/Blundell-Bond linear panel-data est.
.k xt-dpdsys stat-istics
.k cross section-al time-series series longi-tudinal
.k linear panel-s data est-imation dynamic model-s arellano bond
.k command-s general-ized meth-ods mom-ents gmm est-imators endog-enous
.k depend-ent var-iables robust endog-enous lag-s two-step step
.k reg-ressions blundel-l fix-ed rand-om effect-s covariate-s
.o @xtdpdsys@

.e [XT] xtdpdsys postestimation
.c manual
.t Postestimation tools for xtdpdsys
.k xt-dpdsys stat-istics estat abond sargan
.k test-s test-ing corr-elations autocor-relations blundel-l
.k linear panel-s data est-imation dynamic model-s arellano bond
.k est-imators post-estimations blundel-l
.o @xtdpdsys postestimation@

.e [XT] xtfrontier
.c manual
.t Stochastic frontier models for panel data
.k xt-frontier frontier-s stat-istics est-imation command-s
.k cross section-al time-series series panel-s data longi-tudinal
.k stochastic production model-s cost-s battese coelli vary-ing decay
.k trun-cated norm-al distrib-utions linear reg-ressions
.o @xtfrontier@

.e [XT] xtfrontier postestimation
.c manual
.t Postestimation tools for xtfrontier
.k stat-istics est-imation
.k xt-frontier post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtfrontier postestimation@

.e [XT] xtgee
.c manual
.t Fit population-averaged panel-data models by using GEE
.k xt-gee stat-istics est-imation estimat-ing command-s
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k pw-eights clus-tering gee general-ized eq-uations
.k cross section-al time-series series panel-s data longi-tudinal
.k variance-s est-imators huber white-s sandw-ich scor-es
.k clus-tered strat-ified strat-a strat-um glm indep-endent autoregr-essive
.k weight-ed stand-ard err-ors std bias-ed sandw-ich scale-s
.k glm link func-tions distrib-utions family linear
.k gauss-ian logit probit gamma odds ratio-s incid-ence rate-s binom-ial
.k poisson log-s iden-tity recipr-ocal complem-entary clog-logs least sq-uares
.k bernoulli inv-erse offset expos-ures serial-ly corr-elations
.k autocor-relations exch-angeable nonstatio-nary statio-nary unstruc-tured
.k rand-om effect-s model-s pop-ulations ave-raged choice
.k limit-s limit-ed depend-ent var-iables reg-ressions qualita-tive
.o @xtgee@

.e [XT] xtgee postestimation
.c manual
.t Postestimation tools for xtgee
.k estat
.k stat-istics est-imation
.k xt-gee post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.k xtcorr wcor-relations within group-s corr-elate corr-elations
.o @xtgee postestimation@

.e [XT] xtgls
.c manual
.t Fit panel-data models by using GLS
.k xt-gls stat-istics est-imation cross section-al time-series
.k series panel-s data-sets set-s longi-tudinal prob-ability weight-ing robust
.k meth-ods samp-ling samp-les clus-ters pw-eights clus-tering autoregr-essive
.k nagar theil durb-in gls general-ized least sq-uares watson lead-s lag-s
.k indep-endent huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.k egls fgls pcse correct-ed model-s serial-ly corr-elations autocor-relations
.k contempo-raneous hetero-scedasticity hetero-skedasticity command-s
.k cotemp-oraneous linear reg-ressions
.o @xtgls@

.e [XT] xtgls postestimation
.c manual
.t Postestimation tools for xtgls
.k stat-istics est-imation
.k xt-gls post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtgls postestimation@

.e [XT] xthtaylor
.c manual
.t Hausman-Taylor estimator for error-components models
.k xt-htaylor stat-istics hausman taylor err-ors compon-ents model-s
.k cross section-al time-series series panel-s data longi-tudinal
.k est-imation linear reg-ressions command-s amemiya macurdy
.k gls general-ized least sq-uares instrum-ental var-iables
.k endog-enous covariate-s
.o @xthtaylor@

.e [XT] xthtaylor postestimation
.c manual
.t Postestimation tools for xthtaylor
.k stat-istics est-imation
.k xt-htaylor post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xthtaylor postestimation@

.e [XT] xtintreg
.c manual
.t Random-effects interval-data regression models
.k xt-intreg stat-istics est-imation command-s
.k reg-ressions censor-ing linear
.k cross section-al time-series series panel-s data longi-tudinal censor-ed
.k rand-om effect-s model-s interv-al intreg trun-cated quadra-ture
.o @xtintreg@

.e [XT] xtintreg postestimation
.c manual
.t Postestimation tools for xtintreg
.k stat-istics est-imation
.k xt-intreg post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtintreg postestimation@

.e [XT] xtivreg
.c manual
.t Instr. var. & two-stage least squares for panel-data models
.k xt-ivreg stat-istics est-imation command-s
.k 2sls instrum-ental var-iables
.k two stage least sq-uares reg-ressions linear endog-enous exog-enous system-s
.k simult-aneous eq-uations gls general-ized egls fgls feasible fix-ed effect-s
.k model-s rand-om within between cross section-al time-series series panel-s
.k data longi-tudinal balestra varadharajan krishnakumar g2sls ec2sls first
.k diff-erenced fd2sls fe2sls be2sls swamy arora baltagi chang covariate-s
.o @xtivreg@

.e [XT] xtivreg postestimation
.c manual
.t Postestimation tools for xtivreg
.k stat-istics est-imation
.k cross section-al time-series series panel-s data longi-tudinal
.k xt-intreg post-estimations
.o @xtivreg postestimation@

.e [XT] xtline
.c manual
.t Panel-data line plots
.k xt xtline graph-s graph-ics graph-ing line-s plot-s
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.o @xtline@

.e [XT] xtlogit
.c manual
.t Fixed-effects, random-effects, & pop.-averaged logit models
.k cross section-al time-series series panel-s data longi-tudinal command-s
.k xt-logit stat-istics est-imation reg-ressions robust meth-ods
.k rand-om effect-s model-s pop-ulations ave-raged fix-ed logit logis-tic
.k bina-ry dicho-tomous outcome-s quadra-ture choice
.k limit-s limit-ed depend-ent var-iables qualita-tive
.o @xtlogit@

.e [XT] xtlogit postestimation
.c manual
.t Postestimation tools for xtlogit
.k stat-istics est-imation
.k xt-logit post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtlogit postestimation@

.e [XT] xtmelogit
.c manual
.t Multilevel mixed-effects logistic regression
.k xt-melogit
.k stat-istics est-imation command-s
.k cross section-al time-series series panel-s data longi-tudinal
.k logis-tic logit rand-om mixed effect-s reg-ressions model-s
.k bina-ry outcome-s dicho-tomous risk-s
.k multi-level level factor-s fix-ed var-iables quadra-ture
.k anal-ysis variance-s cov-ariances corr-elations
.k exch-angeable indep-endent unstruc-tured iden-tity
.k ml-e max-imum like-lihood restric-ted restric-tions choice
.k hier-archical compon-ents limit-s limit-ed depend-ent qualita-tive
.o @xtmelogit@

.e [XT] xtmelogit postestimation
.c manual
.t Postestimation tools for xtmelogit
.k estat group-s recov-ariance
.k xt-melogit stat-istics est-imation post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.k cov-ariances corr-elations nest-ed rand-om effect-s
.o @xtmelogit postestimation@

.e [XT] xtmepoisson
.c manual
.t Multilevel mixed-effects Poisson regression
.k xt-mepoisson
.k stat-istics est-imation command-s
.k cross section-al time-series series panel-s data longi-tudinal
.k rand-om mixed effect-s poisson reg-ressions model-s
.k multi-level level factor-s fix-ed var-iables quadra-ture
.k anal-ysis variance-s cov-ariances corr-elations
.k exch-angeable indep-endent unstruc-tured iden-tity
.k ml-e max-imum like-lihood restric-ted restric-tions
.k hier-archical compon-ents
.k distrib-utions spatial epi-demiological epi-demiology
.k count-s surviv-al fail-ure anal-ysis reliab-ility duration total-s
.k incid-ence rate-s ratio-s expos-ures limit-s limit-ed depend-ent
.o @xtmepoisson@

.e [XT] xtmepoisson postestimation
.c manual
.t Postestimation tools for xtmepoisson
.k estat group-s recov-ariance
.k xt-mepoisson stat-istics est-imation post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.k cov-ariances corr-elations nest-ed rand-om effect-s
.o @xtmepoisson postestimation@

.e [XT] xtmixed
.c manual
.t Multilevel mixed-effects linear regression
.k xt-mixed
.k stat-istics est-imation command-s
.k cross section-al time-series series panel-s data longi-tudinal
.k rand-om mixed effect-s linear reg-ressions gauss-ian model-s
.k multi-level level factor-s fix-ed var-iables
.k anal-ysis variance-s cov-ariances corr-elations
.k exch-angeable indep-endent unstruc-tured iden-tity
.k reml ml-e max-imum like-lihood restric-ted restric-tions
.k em algor-ithms hier-archical compon-ents
.k toep-litz band-s banded exp-onential
.o @xtmixed@

.e [XT] xtmixed postestimation
.c manual
.t Postestimation tools for xtmixed
.k estat group-s recov-ariance
.k stat-istics est-imation
.k xt-mixed post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.k cov-ariances corr-elations nest-ed rand-om effect-s
.o @xtmixed postestimation@

.e [XT] xtnbreg
.c manual
.t Fixed-, random-effects, & pop.-averaged neg. binomial models
.k xt-nbreg stat-istics est-imation command-s
.k reg-ressions robust meth-ods
.k nbreg cross section-al time-series series panel-s data longi-tudinal
.k rand-om effect-s model-s pop-ulations ave-raged fix-ed neg-ative binom-ial
.k limit-s limit-ed depend-ent var-iables
.o @xtnbreg@

.e [XT] xtnbreg postestimation
.c manual
.t Postestimation tools for xtnbreg
.k stat-istics est-imation
.k xt-nbreg post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtnbreg postestimation@

.e [XT] xtpcse
.c manual
.t Linear regression with panel-corrected standard errors
.k xt-pcse pcse stat-istics est-imation command-s
.k correct-ed ols
.k std stand-ard err-ors reg-ressions robust meth-ods huber white-s weight-ed
.k bias-ed sandw-ich autocor-related autocor-relations prais winsten model-s
.k cross section-al time-series series panel-s data longi-tudinal linear
.o @xtpcse@

.e [XT] xtpcse postestimation
.c manual
.t Postestimation tools for xtpcse
.k stat-istics est-imation
.k xt-pcse post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtpcse postestimation@

.e [XT] xtpoisson
.c manual
.t Fixed-, random-effects & pop.-averaged Poisson models
.k xt-poisson stat-istics est-imation command-s
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k pw-eights clus-tering quadra-ture
.k distrib-utions spatial epi-demiological epi-demiology
.k count-s surviv-al fail-ure anal-ysis reliab-ility duration total-s
.k incid-ence rate-s ratio-s expos-ures goodness fit poisson
.k huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.k rand-om effect-s model-s pop-ulations ave-raged fix-ed
.k limit-s limit-ed depend-ent var-iables surviv-al anal-ysis event
.o @xtpoisson@

.e [XT] xtpoisson postestimation
.c manual
.t Postestimation tools for xtpoisson
.k stat-istics est-imation
.k xt-poisson post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtpoisson postestimation@

.e [XT] xtprobit
.c manual
.t Random-effects and population-averaged probit models
.k xt-probit stat-istics est-imation command-s
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k pw-eights clus-tering bina-ry outcome-s dicho-tomous risk-s ml-e reg-ressions
.k odds ratio-s probit quadra-ture
.k huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.k rand-om effect-s model-s pop-ulations ave-raged probit choice
.k limit-s limit-ed depend-ent var-iables qualita-tive
.o @xtprobit@

.e [XT] xtprobit postestimation
.c manual
.t Postestimation tools for xtprobit
.k stat-istics est-imation
.k xt-probit post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtprobit postestimation@

.e [XT] xtrc
.c manual
.t Random-coefficients model
.k xt-rchh stat-istics est-imation reg-ressions command-s
.k cross section-al time-series series panel-s data longi-tudinal
.k rand-om coef-ficients model-s hildreth houck swamy linear
.o @xtrc@

.e [XT] xtrc postestimation
.c manual
.t Postestimation tools for xtrc
.k stat-istics est-imation
.k xt-rc post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtrc postestimation@

.e [XT] xtreg
.c manual
.t Fixed-, between-, & random-effects, & pop.-ave. linear models
.k xt-reg
.k stat-istics est-imation command-s breusch pagan
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.k reg-ressions robust meth-ods gls general-ized least sq-uares
.k test-s test-ing between within linear ml-e max-imum
.k like-lihood lagrange multipli-er mixed est-imators goodness
.k fit rand-om effect-s model-s pop-ulations ave-raged fix-ed between linear
.o @xtreg@

.e [XT] xtreg postestimation
.c manual
.t Postestimation tools for xtreg
.k xt-test0
.k stat-istics est-imation
.k xt-reg post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.k test-s test-ing breusch pagan specifica-tion
.o @xtreg postestimation@

.e [XT] xtregar
.c manual
.t Fixed- & random-effects linear models with an AR(1) disturb.
.k xt-regar stat-istics est-imation command-s
.k reg-ressions linear model-s
.k fix-ed effect-s rand-om autocor-related autocor-relations data within
.k cross section-al time-series series panel-s longi-tudinal bhargava
.k baltagi-wu wu lbi ar(1) disturb-ances ar autoregr-essive durb-in watson
.o @xtregar@

.e [XT] xtregar postestimation
.c manual
.t Postestimation tools for xtregar
.k stat-istics est-imation
.k xt-regar post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xtregar postestimation@

.e [XT] xtset
.c manual
.t Declare data to be panel data
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.k xt-set model-s
.o @xtset@

.e [XT] xtsum
.c manual
.t Summarize xt data
.k xt-sum stat-istics
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.k summ-arize mean-s std stand-ard dev-iations between within variance-s
.k rand-om effect-s model-s descrip-tive
.o @xtsum@

.e [XT] xttab
.c manual
.t Tabulate xt data
.k xt-tab xt-trans stat-istics
.k cross section-al time-series series panel-s data-sets set-s longi-tudinal
.k cross-tabulations tab-s attrib-ute tab-ulate tab-ulations
.k between within tabl-es transition prob-ability
.k rand-om effect-s model-s
.o @xttab@

.e [XT] xttobit
.c manual
.t Random-effects tobit models
.k xt-tobit stat-istics est-imation reg-ressions command-s
.k cross section-al time-series series panel-s data longi-tudinal
.k rand-om effect-s model-s tobit tobin linear trun-cated quadra-ture
.o @xttobit@

.e [XT] xttobit postestimation
.c manual
.t Postestimation tools for xttobit
.k stat-istics est-imation
.k xt-tobit post-estimations
.k cross section-al time-series series panel-s data longi-tudinal
.o @xttobit postestimation@

.e [XT] xtunitroot
.c manual
.t Panel-data unit-root tests
.k stat-istics levin lin chu harris tzavalis breitung im pesaran shin fisher
.k cross section-al time-series series longi-tudinal xt
.k hadri lm trend nonstatio-nary statio-nary hyp-othesis hyp-otheses
.k xtunitroot panel-s data-sets set-s unitroot unit root-s test-s test-ing
.o @xtunitroot@

.e [XT] Glossary
.c manual
.t Glossary
.k cross section-al time-series series panel-s data longi-tudinal xt
.k glossary
.o @xt Glossary@

.e [P] automation
.c manual
.t Automation
.k auto-mation prog-ramming prog-rams win-dows communicat-ion ole
.o @automation@

.e [P] break
.c manual
.t Suppress Break key
.k break nobreak prog-ramming prog-rams key-s suppr-ess
.o @break@

.e [P] byable
.c manual
.t Make programs byable
.k by-able prog-ramming prog-rams sort-preserve prefix subset-s repeat-ing
.k varlist-s varlist: onecall recall group-s ado-files file-s _byindex
.k _byvars _byrc0 _by _bylastcall func-tions _byn1 _byn2
.o @byable@

.e [P] capture
.c manual
.t Capture return code
.k capture-: : command-s prefix prog-ramming prog-rams
.k return code-s err-ors mess-ages break key-s intercep-tion handl-ing
.o @capture@

.e [P] char
.c manual
.t Characteristics
.k char prog-ramming prog-rams charac-teristics descrip-tions describ-e
.k data-sets set-s
.o @char@

.e [P] class
.c manual
.t Class programming
.k prog-ramming prog-rams class object-s orient-ed
.k member-s var-iables .class file-s
.k instance-s array-s scope inherit-ance key-s
.o @class@

.e [P] class exit
.c manual
.t Exit class-member program and return result
.k prog-ramming prog-rams class exit return
.o @class exit@

.e [P] classutil
.c manual
.t Class programming utility
.k prog-ramming prog-rams class util-ity drop describ-e dir which
.o @class util@

.e [P] comments
.c manual
.t Add comments to programs
.k prog-ramming prog-rams comment-s *
.o @comments@

.e [P] confirm
.c manual
.t Argument verification
.k confirm exist-ence num-bers file-s file-names name-s var-iables
.k prog-ramming prog-rams arg-uments verify matr-ices matr-ix scal-ars
.k err-ors handl-ing return code-s mess-ages str-ings type-s
.o @confirm@

.e [P] continue
.c manual
.t Break out of loops
.k continue prog-ramming prog-rams break-ing loop-s loop-ing repeat-ing
.k command-s abort-ing stop-ping exit-ing
.o @continue@

.e [P] creturn
.c manual
.t Return c-class values
.k prog-ramming prog-rams
.k util-ity c-class class constant-s curr-ent value-s system param-eters
.k set-tings pi rc seed date time flavor filedate os dir-ectories dir-ectory
.k path-s sysdir adopath max-imums min-imums num-bers adosize linesize osdtl
.k pagesize graphics scheme level searchdefault logtype matsize more rmsg
.k size-s trace virtual type-s dp decim-al point-s comma-s current_date changed
.k current_time rmsg_time stata_version version-s
.k born_date born se mode consol-e fastscroll
.k machine_type byteorder sysdir_stata stata sysdir_updates updates
.k sysdir_base base sysdir_site site sysdir_plus plus sysdir_personal personal
.k sysdir_oldplace oldplace pwd dirsep N k width macrolen max_macrolen
.k max_cmdlen cmdlen namelen noisily
.k mindouble maxdouble epsdouble double eps-ilon smallestdouble denormal-ized
.k minlong maxlong long minfloat maxfloat epsfloat float
.k minint maxint int minbyte maxbyte byte maxstrvarlen str memory maxvar
.k filename linegap scrollbufsize varlabelpos reventries printcolor maxdb
.k checksum timeout-1 timeout-2 httpproxy httpproxyhost httpproxyport
.k httpproxyauth httpproxyuser httpproxypw tracedepth tracesep traceindent
.k traceexpand tracenumber tracehilite max_matsize min_matsize
.k max_N_theory max_k_theory max_width_theory
.k max_N_current max_k_current max_width_current
.k mata matastrict matalnum mataoptimize matafavor matacache
.k matalibs matamofirst maxiter varabbrev alpha mons months weekdays
.k creturn win-dows unix mac-intosh
.o @creturn@

.e [P] _datasignature
.c manual
.t Determine whether data have changed
.k prog-ramming prog-rams
.k data-sets set-s manage-ment datasig-natures _datasig-natures
.k check-sum sum signature-s func-tions esample confirm
.o @_datasignature@

.e [P] #delimit
.c manual
.t Change delimiter
.k #delimit prog-ramming prog-rams change delimit-er return-s
.k ado-files file-s long line-s preprocessor command-s do-files carr-iage
.k semicolon-s ;
.o @#delimit@

.e [P] dialog programming
.c manual
.t Dialog programming
.k prog-ramming prog-rams dial-ogs dial-ogues box-es .dlg dlg file-s
.k checkbox-es check-s radio-s button-s spin-ners edit-ing input-ting input-ing
.k str-ings var-iables num-bers num-erical control-s listbox-es list-s
.k combobox-es groupbox-es frame-s field-s .mnu mnu .idlg idlg
.o @dialog programming@

.e [P] discard
.c manual
.t Drop automatically loaded programs
.k discard util-ity prog-ramming prog-rams
.k drop loaded mem-ory debug-ging ado-files file-s .ado
.o @discard@

.e [P] display
.c manual
.t Display strings and values of scalar expressions
.k display prog-ramming prog-rams str-ings charac-ters alphan-umeric var-iables
.k value-s read scal-ars expr-essions color-s specify consol-e obtain
.k input-ting input-ing echo request-s terminal as text txt res-ult err-ors
.k style-s smcl stata markup control lang-uage _asis asis ascii _skip _col-umn
.k _new-line _c-ontinue _dup _req-uest _char
.k compound double-s quot-ation mark-s quot-es
.o @display@

.e [P] ereturn
.c manual
.t Post the estimation results
.k ereturn prog-ramming prog-rams local-ly scal-ars matr-ix list-s clear
.k post repost display sav-ed e-class class e(b) e(sample) e(v)
.k est-imation command-s result-s return
.o @ereturn@

.e [P] error
.c manual
.t Display generic error message and exit
.k err-ors prog-ramming prog-rams
.k handl-ing mess-ages display return code-s exit-ing quit
.o @error@

.e [P] estat programming
.c manual
.t Controlling estat after user-written commands
.k estat prog-ramming prog-rams command-s
.o @estat programming@

.e [P] _estimates
.c manual
.t Manage estimation results
.k _est-imates est-imates hold unhold dir drop prog-ramming prog-rams
.k clear sav-ed e-class class e(b) e(sample) e(v)
.k est-imation command-s result-s preserve keep store
.o @_estimates@

.e [P] exit
.c manual
.t Exit from a program or do-file
.k exit-ing prog-ramming prog-rams do-files file-s quit bye leave end stata
.k stop-ping terminat-e
.o @exit@

.e [P] file
.c manual
.t Read and write ASCII text and binary files
.k prog-ramming prog-rams
.k data-sets set-s manage-ment file-s read-ing load-ing io input-ting input-ing
.k output-ting output-ing writ-e writ-ing ascii bina-ry text format-s
.k sav-ed import-ing expor-ting transfe-r sav-ing append seek serset-s
.o @file@

.e [P] file formats .dta
.c manual
.t Description of .dta file format
.k .dta dta prog-rams prog-ramming tech-nical
.k descrip-tions file-s format-s suffix data-sets set-s stata lohi hilo system
.o @dta@

.e [P] findfile
.c manual
.t Find file in path
.k prog-rams prog-ramming
.k find-files file-s adopath system dir-ectories dir-ectory path-s folder-s
.o @findfile@

.e [P] foreach
.c manual
.t Loop over items
.k for-each each prog-ramming prog-rams loop-s loop-ing repeat-ing command-s
.k iter-ate list-s
.o @foreach@

.e [P] forvalues
.c manual
.t Loop over consecutive values
.k for-values value-s prog-ramming prog-rams loop-s loop-ing repeat-ing
.k command-s num-eric num-bers iter-ate list-s
.o @forvalues@

.e [P] fvexpand
.c manual
.t Expand factor varlists
.k fvexpand prog-rams prog-ramming
.k factor-s var-iables varlist-s expand i. c. b. o. #
.k time-series series oper-ators fvvarlist-s tsvarlist-s
.o @fvexpand@

.e [P] gettoken
.c manual
.t Low-level parsing
.k gettoken prog-rams prog-ramming pars-e pars-ing token-s
.k str-ings word-s div-ide
.o @gettoken@

.e [P] if
.c manual
.t if programming command
.k prog-ramming prog-rams if else cond-itions state-ment
.o @ifcmd@

.e [P] include
.c manual
.t Include commands from file
.k prog-rams prog-ramming
.k do-files .do .doh .matah file-s include-s
.o @include@

.e [P] levelsof
.c manual
.t Levels of variable
.k level-sof
.k prog-rams prog-ramming
.k factor-s var-iables list-s cat-egorical
.k macro-s sort-ed distinct value-s
.o @levelsof@

.e [P] macro
.c manual
.t Macro definition and manipulation
.k macro-s global-s global-ly local-ly
.k tempvar tempname tempfile drop list-s shift adosubdir stripe-s
.k prog-ramming prog-rams def-ine def-initions path-s dir-ectory folder-s
.k display format-s content-s temp-orary file-s var-iables name-s piece-s
.k word-s str-ings system param-eters label-s substitut-ion environ-ment
.k pars-e pars-ing extend-ed func-tions value-s type-s data sort-edby set
.k sysdir rowname-s colname-s roweq coleq row-s macval constrain-ts length
.k colu-mns rowf-ullnames colf-ullnames matr-ix matr-ices count-s subinstr
.k tsnorm smcl r e s sav-ed result-s permname increment-s decrement-s
.o @macro@

.e [P] macro lists
.c manual
.t Manipulate lists
.k prog-ramming prog-rams macro-s list-s uniq-ue dup-licates dup-licated
.k sort union intersect-ion remov-e in size-s sizeof index posof ele-ments
.k macrolists
.o @macrolists@

.e [P] makecns
.c manual
.t Constrained estimation
.k makecns matcproc prog-rams prog-ramming matr-ix matr-ices
.k est-imation
.k constrain-ed constrain-ts command-s
.o @makecns@

.e [P] mark
.c manual
.t Mark observations for inclusion
.k mark-sample markout markin prog-ramming prog-rams
.k samp-les identify-ing obs-ervations zero-s weight-s miss-ing value-s
.o @mark@

.e [P] matlist
.c manual
.t Display a matrix and control its format
.k mat-list
.k prog-ramming prog-rams command-s
.k matr-ix matr-ices format-s format-ting format-ted list-s display
.o @matlist@

.e [P] matrix
.c manual
.t Introduction to matrix commands
.k matr-ix matr-ices prog-ramming prog-rams command-s
.k est-imation max-imum like-lihood intro-duction
.o @matrix@

.e [P] matrix accum
.c manual
.t Form cross-product matrices
.k matr-ix matr-ices cross-product prod-ucts form accum-ulate mom-ent opaccum
.k prog-rams prog-ramming glsaccum vecaccum cov-ariances outer
.o @matrix accum@

.e [P] matrix define
.c manual
.t Matrix definition, operators, and functions
.k alge-braic expr-essions oper-ators func-tions name-s def-ine def-initions
.k append row-s colu-mns matr-ix matr-ices chol-esky decomp-osition copy-ing
.k corr-elations det-erminants diag-onals vec-tors input-ting input-ing
.k kron-ecker prod-ucts transp-ose transp-osition
.k join comb-ine \ list-s iden-tity inv-erse sweep
.k g2 diag-onalization subsc-ripts ele-ments trace eq-uations general-ized
.k math-ematical inv-ersion num-bers add-ition mult-iplication prog-ramming
.k partit-ioned submatr-ix extrac-tion block-ed zero scal-ars mult-iply
.k prog-rams matoper matfcns
.o @matrix@, @matoper@, @matfcns@

.e [P] matrix dissimilarity
.c manual
.t Compute similarity or dissimilarity measures
.k stat-istics multiv-ariate anal-ysis
.k prog-rams prog-ramming matr-ices matr-ix
.k similar-ity similar-ities dissimilar-ity dissimilar-ities
.k proxi-mity proxi-mities
.k meas-ures coef-ficients distance-s bina-ry continu-ous
.k obs-ervations var-iables
.k l l1 l2 euclidean abs-olute value-s max-imum
.k canberra minkowski angular angle cos-ine corr-elations
.k match-ed match-es match-ing jaccard kulczynski gower-s pearson
.k russell rao hamman dice antidice rogers tanimoto
.k sneath sokal ochiai yule anderberg
.k city-block block manhat-tan linf-inity czekanowski sorenson
.k sq-uared l2squared lpow-er power-s
.o @matrix dissimilarity@

.e [P] matrix eigenvalues
.c manual
.t Eigenvalues of nonsymmetric matrices
.k matr-ix matr-ices prog-rams prog-ramming eigen-values nonsym-metric real
.k imaginary complex num-bers
.o @matrix eigenvalues@

.e [P] matrix get
.c manual
.t Access system matrices
.k matr-ix matr-ices
.k coef-ficients access est-imation copy-ing cov-ariances est-imators
.k command-s intern-al std stand-ard err-ors info-rmation get
.k system prog-rams _b _se mat_put_rr Rr
.k prog-ramming prog-rams constrain-ts test-s test-ing
.o @matrix get@, @mat_put_rr@

.e [P] matrix mkmat
.t Convert variables to matrix and vice versa
.k prog-rams prog-ramming matr-ix matr-ices var-iables store vec-tors colu-mns
.k mkmat svmat matname convert
.o @mkmat@

.e [P] matrix rownames
.c manual
.t Name rows and columns
.k matr-ix matr-ices name-s row-s colu-mns eq-uations prog-rams prog-ramming
.k rowname-s colname-s roweq coleq stripe-s
.o @matrix rownames@

.e [P] matrix score
.c manual
.t Score data from coefficient vectors
.k matr-ix matr-ices prog-rams prog-ramming
.k scor-e coef-ficients vec-tors linear comb-inations form scor-ing
.o @matrix score@

.e [P] matrix svd
.c manual
.t Singular value decomposition
.k matr-ix matr-ices orthon-ormal basis prog-rams prog-ramming
.k singular value-s decomp-osition g2 inv-erse general-ized inv-ersion svd
.o @matrix svd@

.e [P] matrix symeigen
.c manual
.t Eigenvalues and eigenvectors of symmetric matrices
.k matr-ix matr-ices eigen-values eigen-vectors vec-tors
.k prog-rams prog-ramming symeigen sym-metric
.o @matrix symeigen@

.e [P] matrix utility
.c manual
.t List, rename, and drop matrices
.k matr-ix matr-ices list-s drop display prog-rams prog-ramming dir rename
.k format-s util-ity
.o @matrix utility@

.e [P] more
.c manual
.t Pause until key is pressed
.k more set prog-ramming prog-rams
.k pause key-s wait
.k control scrol-ling output-ting output-ing consol-e screen paging
.o @more@

.e [P] nopreserve option
.c manual
.t nopreserve option
.k preserve nopreserve restore opt-ions prog-rams prog-ramming
.o @nopreserve option@

.e [P] numlist
.c manual
.t Parse numeric lists
.k numlist-s prog-rams prog-ramming pars-e pars-ing num-eric list-s num-bers
.k nlist
.o @nlist@

.e [P] pause
.c manual
.t Program debugging command
.k pause prog-ramming prog-rams debug-ging wait
.o @pause@

.e [P] plugin
.c manual
.t Load a plugin
.k plugin-s .plugin
.k prog-ramming prog-rams
.k dll-s do-files .do .ado ado-files
.k libr-ary libr-aries file-s compile
.k arg-uments subroutine routine source code-s
.o @plugin@

.e [P] postfile
.c manual
.t Save results in Stata dataset
.k post-file post-close prog-ramming prog-rams postutil
.k monte carlo simul-ations exper-iments store result-s sav-ed sav-ing
.o @postfile@

.e [P] _predict
.c manual
.t Obtain predictions, etc., after estimation programming cmd.
.k pred-ictions prog-ramming prog-rams est-imation command-s _pred-ict
.o @_predict@

.e [P] preserve
.c manual
.t Preserve and restore data
.k preserve restore prog-ramming prog-rams data-sets set-s temp-orary file-s
.o @preserve@

.e [P] program
.c manual
.t Define and manipulate programs
.k prog-rams def-ine dir drop list-s prog-ramming by-able
.o @program@

.e [P] program properties
.c manual
.t Properties of user-defined programs
.k prog-ramming prog-rams propert-y propert-ies command-s
.o @program properties@

.e [P] quietly
.c manual
.t Quietly and noisily perform Stata command
.k quiet-ly: noisily-: qui: : command-s prefix
.k set output-ting output-ing util-ity prog-ramming prog-rams
.k perform command-s exec-ute silent-ly suppr-ess terminal
.o @quietly@

.e [P] _return
.c manual
.t Preserve saved results
.k _return prog-rams prog-ramming r() class r-class preserve sav-ed result-s
.k hold restore keep store
.o @_return@

.e [P] return
.c manual
.t Return saved results
.k return prog-rams prog-ramming local-ly e(sample) e(v) e(b) post repost
.k scal-ars matr-ix list-s add clear sreturn s-class e-class
.k r-class n-class command-s est-imation result-s sav-ed s() e() r() class
.o @return@

.e [P] _rmcoll
.c manual
.t Remove collinear variables
.k _rmcoll rmcoll _rmdcoll rmdcoll collinear-ity var-iables remove
.k prog-ramming prog-rams multicol-linearity
.o @_rmcoll@, @_rmdcoll@

.e [P] rmsg
.c manual
.t Return messages
.k util-ity off turn set rmsg
.k return err-ors mess-ages prog-rams prog-ramming code-s display show
.o @rmsg@

.e [P] _robust
.c manual
.t Robust variance estimates
.k _robust stat-istics prog-rams prog-ramming
.k robust variance-s est-imation est-imators
.k clus-tering clus-tered samp-les samp-ling strat-ified strat-a strat-um
.k huber white-s meth-ods weight-ed stand-ard err-ors std bias-ed
.k psu primary unit-s pop-ulations fpc
.k design-s effect-s prob-ability weight-ing weight-s survey-s data svy
.k hetero-skedasticity hetero-scedasticity hier-archical reg-ressions
.o @_robust@

.e [P] scalar
.c manual
.t Scalar variables
.k scal-ars def-ine dir drop prog-ramming prog-rams list-s num-bers
.k display expr-essions var-iables macro-s temp-orary name-s num-erical
.o @scalar@

.e [P] serset
.c manual
.t Create and manipulate sersets
.k serset-s prog-rams prog-ramming file-s
.o @serset@

.e [P] signestimationsample
.c manual
.t Determine whether estimation sample has changed
.k signestimationsample checkestimationsample prog-rams prog-ramming
.k est-imation samp-les data-sets set-s check-sum sum signature-s
.o @signestimationsample@

.e [P] sleep
.c manual
.t Pause for a specified time
.k sleep prog-rams prog-ramming pause wait
.o @sleep@

.e [P] smcl
.c manual
.t Stata Markup and Control Language
.k smcl prog-rams prog-ramming stata markup control lang-uage right left
.k output-ting output-ing charset ccl align-ment justif-ied justif-ication
.k asis paragraph-s line-s center font-s color-s format-s format-ting bf it sf
.k bold-faces italic-s face-s underline-s underlining display
.k cmdab opt hilite hline dup help-b manhelp-i help_d manpage mansection
.k manlink-i title center rcenter right lalign dlgtab col space tab p pstd
.k psee phang pmore pin p_end p2colset p2col p2line p2colreset synoptset
.k synopthdr syntab synopt p2coldent synoptline bind break ccl char c
.k tt bt lt rt tlc trc brc blc .ihlp ihlp .sthlp sthlp
.o @smcl@

.e [P] sortpreserve
.c manual
.t Sort within programs
.k sort-preserve preserve prog-rams prog-ramming sort-ing data-sets set-s
.k by-able
.o @byable@

.e [P] syntax
.c manual
.t Parse Stata syntax
.k synt-ax prog-rams prog-ramming args varlist-s if in using expr-essions
.k pars-e pars-ing arg-uments opt-ions fw-eights pw-eights iw-eights aw-eights
.k weight-s numlist-s anything namelist-s list-s name-s
.o @syntax@, @args@

.e [P] sysdir
.c manual
.t Query and set system directories
.k prog-rams prog-ramming
.k sysdir set adopath ado-size util-ity system dir-ectories dir-ectory
.k path-s folder-s personal
.k lab-s laborat-ories laborat-ory site oldplace plus base updates stata
.o @sysdir@

.e [P] tabdisp
.c manual
.t Display tables
.k tabdisp prog-ramming prog-rams
.k display-ing tabl-es format-s format-ting
.o @tabdisp@

.e [P] timer
.c manual
.t Time sections of code by recording and reporting time spent
.k prog-rams prog-ramming elapse timing time-r report-ing record-s
.o @timer@

.e [P] tokenize
.c manual
.t Divide strings into tokens
.k tokenize prog-rams prog-ramming
.k token-s div-ide str-ings pars-e pars-ing word-s
.o @tokenize@

.e [P] trace
.c manual
.t Debug Stata programs
.k trace-s prog-rams prog-ramming debug-ging util-ity traced-epth
.k tracee-xpand traces-ep tracei-ndent tracen-umber traceback log-s
.o @trace@

.e [P] unab
.c manual
.t Unabbreviate variable list
.k var-iables list-s varlist-s unab-breviate prog-ramming prog-rams tsunab
.k time-series series oper-ators abbrev-iations abbrev-iate fvunab
.k tsvarlist-s fvvarlist-s
.o @unab@

.e [P] unabcmd
.c manual
.t Unabbreviate command name
.k unabcmd prog-ramming prog-rams unab-breviate abbrev-iations abbrev-iate
.k command-s name-s
.o @unabcmd@

.e [P] varabbrev
.c manual
.t Control variable abbreviation
.k prog-ramming prog-rams
.k varabbrev novarabbrev var-iables abbrev-iations abbrev-iate name-s set-s
.o @novarabbrev@

.e [P] version
.c manual
.t Version control
.k ado-files file-s .ado prog-ramming prog-rams
.k version-s version: : prefix command-s control
.k compat-ibility across release-s ensure mark-ers upgrade-s
.o @version@

.e [P] viewsource
.c manual
.t View source code
.k viewsource view source
.k prog-ramming prog-rams
.k code-s ado-files file-s .ado command-s .mata hlp-files dlg .hlp .dlg
.o @viewsource@

.e [P] while
.c manual
.t Looping
.k while prog-ramming prog-rams loop-ing loop-s repeat-ing command-s iter-ate
.o @while@

.e [P] window programming
.c manual
.t Programming menus and windows
.k win-dows fopen fsave dial-ogs dial-ogues box-es display mess-ages
.k prog-ramming prog-rams open save manage charac-teristics box-es stop-boxes
.k menu-s creat-ed push copy-ing command-s review
.o @window programming@

.e [M-0] intro
.c manual
.t Introduction to the Mata manual
.k mata matr-ix matr-ices intro-duction
.k prog-ramming prog-rams
.o @mata@

.e [M-1] intro
.c manual
.t Introduction and advice
.k mata matr-ix matr-ices intro-duction
.k prog-ramming prog-rams
.o @[M-1] intro@

.e [M-1] ado
.c manual
.t Using Mata with ado-files
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k ado-files file-s .ado ado .mata .mo mo .mlib mlib libr-ary libr-aries
.k arg-uments subroutine routine e-class r-class s-class result-s return
.k matastrict compile
.o @[M-1] ado@

.e [M-1] first
.c manual
.t Introduction and first session
.k mata matr-ix matr-ices intro-duction
.k prog-ramming prog-rams func-tions
.k lang-uage synt-ax expr-essions oper-ators interact-ively environ-ment
.k return mess-ages code-s err-ors command-s
.k num-bers num-eric real imaginary complex str-ings scal-ars vec-tors
.k row-s colu-mns ele-ments colon-s : exit-ing first
.o @[M-1] first@

.e [M-1] help
.c manual
.t Obtaining online help
.k mata matr-ix matr-ices
.k help on-line obtain
.o @[M-1] help@

.e [M-1] how
.c manual
.t How mata works
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k interact-ively mo .mo mlib .mlib libr-ary libr-aries file-s environ-ment
.k how
.o @[M-1] how@

.e [M-1] interactive
.c manual
.t Using Mata interactively
.k mata matr-ix matr-ices
.k interact-ively
.o @[M-1] interactive@

.e [M-1] LAPACK
.c manual
.t The LAPACK linear-algebra routines
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k lapak lapac-k eispack linpack blas
.o @[M-1] lapack@

.e [M-1] limits
.c manual
.t Limits and memory utilization
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k limit-s mem-ory size-s max-imums
.o @[M-1] limits@

.e [M-1] naming
.c manual
.t Advice on naming functions and variables
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k name-s naming convention-s var-iables func-tions
.o @[M-1] naming@

.e [M-1] permutation
.c manual
.t An aside on permutation matrices and vectors
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k vec-tors row-s colu-mns permu-tation
.o @[M-1] permutation@

.e [M-1] returnedargs
.c manual
.t Function arguments used to return results
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k arg-uments return value-s
.k returnedargs
.o @[M-1] returnedargs@

.e [M-1] source
.c manual
.t Viewing the source code
.k viewsource view source
.k prog-ramming prog-rams mata matr-ix matr-ices
.k code-s ado-files file-s .ado command-s .mata hlp-files dlg .hlp .dlg
.o @[M-1] source@

.e [M-1] tolerance
.c manual
.t Use and specification of tolerances
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k tol-erances abs-olute relativ-e precis-ion
.o @[M-1] tolerance@

.e [M-2] intro
.c manual
.t Language definition
.k mata matr-ix matr-ices intro-duction
.k prog-ramming prog-rams func-tions
.k lang-uage synt-ax expr-essions oper-ators arg-uments declar-ations
.o @[M-2] intro@

.e [M-2] break
.c manual
.t Break out of for, while, or do loop
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k break-ing loop-s loop-ing abort-ing stop-ping exit-ing for while do
.o @[M-2] break@

.e [M-2] class
.c manual
.t Object-oriented programming (classes)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k class-es object-s orient-ed member-s var-iables func-tions declar-ations
.k inherit-ance
.o @[M-2] class@

.e [M-2] comments
.c manual
.t Comments
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k comment-s *
.o @[M-2] comments@

.e [M-2] continue
.c manual
.t Continue with next iteration of for, while, or do loop
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k continue loop-s loop-ing for while do
.o @[M-2] continue@

.e [M-2] declarations
.c manual
.t Declarations and types
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k declar-ations type-s ele-ments pointer-s complex str-ings real
.k scal-ars row-vectors col-vectors vec-tors transmo-rphic
.k eltype orgtype num-bers num-erical void extern-als
.k var-iables global-ly global-s arg-uments
.o @[M-2] declarations@

.e [M-2] do
.c manual
.t do ... while (exp)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k do while loop-ing loop-s
.o @[M-2] do@

.e [M-2] errors
.c manual
.t Error codes
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k err-ors code-s mess-ages
.o @[M-2] errors@

.e [M-2] exp
.c manual
.t Expressions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k exp expr-essions oper-ators
.o @[M-2] exp@

.e [M-2] for
.c manual
.t for (exp1; exp2; exp3) stmt
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k for loop-s loop-ing repeat-ing command-s iter-ate
.o @[M-2] for@

.e [M-2] ftof
.c manual
.t Passing functions to functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k ftof pointer-s null arg-uments
.o @[M-2] ftof@

.e [M-2] goto
.c manual
.t goto label
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k goto
.o @[M-2] goto@

.e [M-2] if
.c manual
.t if (exp) ... else ...
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k if else cond-itions state-ment
.o @[M-2] if@

.e [M-2] op_arith
.c manual
.t Arithmetic operators
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators arith-metic add-ition subt-raction mult-iplication div-ision
.k power-s prod-ucts neg-ation * ^
.k op_arith
.o @[M-2] op_arith@

.e [M-2] op_assignment
.c manual
.t Assignment operator
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators assign-ment = lval pointer-s
.k op_assignment
.o @[M-2] op_assignment@

.e [M-2] op_colon
.c manual
.t Colon operators
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators colon-s : :+ :- :* :/  :^ :== :!= :>  :>= :<  :<= :&  :|
.k arith-metic add-ition subt-raction mult-iplication div-ision
.k power-s prod-ucts neg-ation c conform-ability conform-able
.k op_colon
.o @[M-2] op_colon@

.e [M-2] op_conditional
.c manual
.t Conditional operator
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators cond-itional ? truth true false
.k op_conditional
.o @[M-2] op_conditional@

.e [M-2] op_increment
.c manual
.t Increment and decrement operators
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators increment-s decrement-s
.k op_increment
.o @[M-2] op_increment@

.e [M-2] op_join
.c manual
.t Row- and column-join operators
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators join comb-ine \ colu-mns row-s
.k op_join
.o @[M-2] op_join@

.e [M-2] op_kronecker
.c manual
.t Kronecker direct-product operator
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators # prod-ucts kron-ecker direct
.k op_kronecker
.o @[M-2] op_kronecker@

.e [M-2] op_logical
.c manual
.t Logical operators
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators logic-al == != > >= < <= ! & | && || truth true false
.k neg-ation great-er less than and or not equal-ity equal-s
.k op_logical
.o @[M-2] op_logical@

.e [M-2] op_range
.c manual
.t Range operators
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators range :: ..
.k op_range
.o @[M-2] op_range@

.e [M-2] op_transpose
.c manual
.t Conjugate transpose operator
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k oper-ators conj-ugate transp-ose transp-osition
.k op_transpose
.o @[M-2] op_transpose@

.e [M-2] optargs
.c manual
.t Optional arguments
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k arg-uments
.k optargs
.o @[M-2] optargs@

.e [M-2] pointers
.c manual
.t Pointers
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k pointer-s null dereferenc-ing dereference
.o @[M-2] pointers@

.e [M-2] pragma
.c manual
.t Suppressing warning messages
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k pragma
.o @[M-2] pragma@

.e [M-2] reswords
.c manual
.t Reserved words
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k reserv-ed word-s
.k reswords
.o @[M-2] reswords@

.e [M-2] return
.c manual
.t return and return(exp)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions return
.o @[M-2] return@

.e [M-2] semicolons
.c manual
.t Use of semicolons
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k semicolon-s ; #delimit delimit-er
.o @[M-2] semicolons@

.e [M-2] struct
.c manual
.t Structures
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k struct-ures
.o @[M-2] struct@

.e [M-2] subscripts
.c manual
.t Use of subscripts
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k subsc-ripts subsc-ripting list-s range vec-tors
.o @[M-2] subscripts@

.e [M-2] syntax
.c manual
.t Mata language grammar and syntax
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k lang-uage synt-ax exp expr-essions oper-ators arg-uments declar-ations
.k istmt type-s eltype orgtype ele-ments pointer-s complex str-ings real
.k scal-ars row-vectors col-vectors vec-tors transmo-rphic pragma void
.k extern-als
.o @[M-2] syntax@

.e [M-2] version
.c manual
.t Version control
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k version-s control do-files .do .ado ado-files file-s
.k compat-ibility across release-s ensure mark-ers upgrade-s
.o @[M-2] version@

.e [M-2] void
.c manual
.t Void matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k void j
.o @[M-2] void@

.e [M-2] while
.c manual
.t while (exp) stmt
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k while loop-ing loop-s repeat-ing command-s iter-ate
.o @[M-2] while@

.e [M-3] intro
.c manual
.t Commands for controlling Mata
.k mata matr-ix matr-ices intro-duction
.k prog-ramming prog-rams
.k lang-uage synt-ax control
.o @[M-3] intro@

.e [M-3] end
.c manual
.t Exit Mata and return to Stata
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k exit-ing quit sess-ions end leave bye stop-ping terminat-e return
.o @[M-3] end@

.e [M-3] mata
.c manual
.t Mata invocation command
.k mata-: : matr-ix matr-ices
.k prog-ramming prog-rams
.k invok-e invoc-ation command-s sess-ions interact-ively exec-ute
.o @[M-3] mata@

.e [M-3] mata clear
.c manual
.t Clear Mata's memory
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k clear mem-ory reset
.o @[M-3] mata clear@

.e [M-3] mata describe
.c manual
.t Describe contents of Mata's memory
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k describ-e list-s mem-ory using mlib .mlib libr-ary libr-aries
.o @[M-3] mata describe@

.e [M-3] mata drop
.c manual
.t Drop matrix or function
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k drop func-tions
.o @[M-3] mata drop@

.e [M-3] mata help
.c manual
.t Obtain online help
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k help on-line obtain man
.o @[M-3] mata help@

.e [M-3] mata matsave
.c manual
.t Save and restore matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k matsave matuse matd-escribe interact-ively
.k sav-ed sav-ing writ-e writ-ing restore use load
.k file-names name-s file-s .mmat mmat describ-e descrip-tions
.o @[M-3] mata matsave@

.e [M-3] mata memory
.c manual
.t Report on Mata's memory usage
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k mem-ory func-tions
.o @[M-3] mata memory@

.e [M-3] mata mlib
.c manual
.t Create function library
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k mlib .mlib libr-ary libr-aries .mata
.k subroutine routine source code-s
.o @[M-3] mata mlib@

.e [M-3] mata mosave
.c manual
.t Save function's compiled code in object file
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k mosave .mo mo object-s file-s compile subroutine routine source code-s
.o @[M-3] mata mosave@

.e [M-3] mata rename
.c manual
.t Rename matrix or function
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k rename change name-s
.o @[M-3] mata rename@

.e [M-3] mata set
.c manual
.t Set and display Mata system parameters
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k matacache matalnum mataoptimize matafavor matastrict matalibs matamofirst
.k set query system param-eters speed space mem-ory cache
.k mo .mo mlib .mlib libr-ary libr-aries lmatabase lmataado mofirst
.o @[M-3] mata set@

.e [M-3] mata stata
.c manual
.t Execute Stata command
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k interact-ively stata invok-e exec-ute command-s
.o @[M-3] mata stata@

.e [M-3] mata which
.c manual
.t Identify function
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k which locat-ions file-s .mo mo
.k mlib .mlib libr-ary libr-aries
.o @[M-3] mata which@

.e [M-3] namelists
.c manual
.t Specifying matrix and function names
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k namelist-s list-s name-s
.o @[M-3] namelists@

.e [M-4] intro
.c manual
.t Index and guide to functions
.k mata matr-ix matr-ices intro-duction
.k prog-ramming prog-rams func-tions
.k solv-e solv-ing scal-ars stat-istics math-ematical
.k stand-ard util-ity manip-ulation stata str-ings
.k io input-ting input-ing out-putting out-puting
.o @[M-4] intro@

.e [M-4] io
.c manual
.t I/O functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k io input-ting input-ing out-putting out-puting
.k printf sprintf errprintf display-as displayflush more
.k direxists dir pwd chdir mkdir rmdir findfile fileexists cat unlink
.k fopen fclose fget fgetnl fread fput fwrite fgetmatrix fputmatrix
.k fstatus ftell fseek ftruncate pathjoin pathsplit pathbasename
.k pathsuffix pathrmsuffix pathisurl pathisabs pathasciisuffix
.k pathstatasuffix pathlist pathsubsysdir pathsearchlist
.o @[M-4] io@

.e [M-4] manipulation
.c manual
.t Matrix manipulation
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k manip-ulation transp-ose transp-osition diagon-als
.k transposeonly _transpose diag sym-metric hermit-ian makesym-metric
.k triang-le triang-ular lower upper extrac-tion
.k lowertri-angle uppertri-angle _lowertri-angle _uppertri-angle
.k sort jumble order _collate revorder uniq-ue uniq-rows
.k permu-tation vec-tors ascend-ing descend-ing
.k fill miss-ing value-s _fillmissing edit-ing editmissing
.k editvalue edittozero edittozerotol edittoint edittointtol
.k invord-er revord-er vec vech invvech
.k reshape rowshape colshape row-s colu-mns
.o @[M-4] manipulation@

.e [M-4] mathematical
.c manual
.t Important mathematical functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions math-ematical
.k fast fourier transfo-rmations transfo-rms
.k corr-elation fft invfft convol-ve convol-ution
.k ftper-iodogram ftpad ftwrap ftre-time ftunwrap ftfreqs
.k cub-ic natural spline-s spline-3 spline-3eval
.k polyeval polysolve polytrim polyderiv polyinteg
.k polyadd polymult polydiv polyroot-s
.k poly-nomials root-s solv-e solv-ing deriv-atives integral-s
.o @[M-4] mathematical@

.e [M-4] matrix
.c manual
.t Matrix functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k trace diag-onals det-triangular triang-le triang-ular det-erminants
.k norm-s vec-tors cond-itions num-bers rank-s
.k chol-esky sq-uare root-s decomp-osition cholsolve solv-e solv-ing
.k cholinv inv-erse inv-ersion invsym general-ized sym-metric
.k lud lu lusolve luinv qr household-er pivot-ing
.k qrd-p hqrd-q1 hqrdmult-q1t hqrd-r1 hqrdp qrsolve qrinv
.k singular value-s svd svdsv fullsvd fullsdiag svsolve
.k moore-penrose penrose pseudoinv-erse pinv
.k solve-lower solve-upper lower upper eigen-system left lefteigen-system
.k eigen-values eigen-vectors symeigen-system symeigen-values
.k matpower-sym power-s matexp-sym matlog-sym
.k row-s colu-mns equil-ibration _equil-rc _equil-r _equil-c
.k _perhaps-equilrc _perhaps-equilc rowscale-factors colscale-factors
.o @[M-4] matrix@

.e [M-4] programming
.c manual
.t Programming functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k arg-uments args synt-ax num-bers temp-orary isfleet-ing version-s control
.k caller-sversion speed space favorspeed pars-e pars-ing tok-enget str-ings
.k tok-enset tok-engetall tok-enpeek tok-enrest tok-enoffset tok-enwchars
.k tok-enpchars tok-enchars tok-enallownum tok-enallowhex tok-eninitstata
.k white-s space charac-ters quot-es blank-s environ-ment extern-als global-s
.k pointer-s name-s findext-ernal crext-ernal rmext-ernal nameext-ernal
.k var-iables direxternal scal-ars vec-tors valof-external break-keys key-s
.k break-keyreset setbreak-keyintr querybreak-intr stop-ping setbreakintr
.k assert-ed assert-ion assert-eq false true truth verify value-s c-class
.k class byte-s sizeof size-s swap interch-ange elapse timing time-r
.k timer_clear timer_on timer_off timer_value byteorder lohi hilo system
.k file-s format-s version-s release-s stataversion statasetversion
.k exit-ing quit end leave stop-ping terminat-e err-ors _err-or mess-ages
.k handl-ing display return code-s exit-ing out-putting out-puting
.o @[M-4] programming@

.e [M-4] scalar
.c manual
.t Scalar mathematical functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k re im c real imaginary complex extrac-tion leng-th abs-olute value-s
.k conj-ugate transp-ose transp-osition adjoin-t adju-gate hermit-ian
.k exp-onentiation exp-onentiated log-arithms log-arithmic ln log-10 10
.k sign-s quadrant dsign sq-uare root-s sqrt trig-onometric hyperbol-ic
.k sin-e cos-ine tan-gent arc arcsin-e arccos-ine asin acos
.k atan-2 atan-h asinr acosr atanr arg sinh cosh tanh asinh acosh pi
.k factori-al gamma lnfact-orial lngamma digamma trigamma
.k inte-gers trunc-ated trun-cation floor ceil-ing round mod-ulus
.k scal-ars
.o @[M-4] scalar@

.e [M-4] solvers
.c manual
.t Functions to solve AX=B and to obtain A inverse
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k chol-esky sq-uare root-s decomp-osition cholsolve solv-e solv-ing
.k lusolve lu qr qrsolve general-ized inv-erse inv-ersion svd
.k singular value-s svsolve invsym sym-metric cholinv luinv qrinv
.k moore-penrose penrose pseudoinv-erse pinv solvers
.o @[M-4] solvers@

.e [M-4] standard
.c manual
.t Functions to create standard matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k iden-tity i unit-s vec-tors e constant-s j design-s design-matrix
.k block-ed diag-onals block-diagonal range complex unit-circles circle-s
.k uniform-ly dist-ributed ran-dom num-bers uniform-seed seed
.k hilbert invhilbert inv-erse toep-litz vander-monde geom-etric
.k stand-ard
.o @[M-4] standard@

.e [M-4] stata
.c manual
.t Stata interface functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k stata var-iables obs-ervations num-bers num-erical st_nvar st_nobs
.k data-sets set-s st_data st_sdata store change modify replace
.k st_store st_sstore view st_view st_sview subview st_subview
.k st_viewvars st_viewobs name-s index indic-es st_varindex
.k st_varname rename st_varrename stor-age type-s str-ings
.k st_vartype st_isnumvar st_isstrvar format-s value-s label-s
.k st_varformat st_varlabel st_varvaluelabel st_vlexists st_vldrop
.k st_vlmap st_vlsearch st_vlload st_vlmodify add st_addobs st_addvar
.k temp-orary file-names name-s file-s st_temp-name st_temp-filename
.k st_tsrevar time-series series tsrevar oper-ators drop keep
.k st_drop-var st_drop-obsin st_drop-obsif st_keep-var st_keep-obsin
.k st_keep-obsif changed st_updata exec-ute command-s
.k expand macro-s st_macro-expand global-ly global-s st_global
.k local-ly st_local scal-ars st_numscalar st_strscalar
.k st_matrix st_matrix-rowstripe st_matrix-colstripe st_replace-matrix
.k row-s colu-mns rowname-s colname-s dir-ectory st_dir
.k char charac-teristics r-class s-class e-class st_isname st_islmname
.k clear st_rclear st_eclear st_sclear st_isfmt st_isnumfmt st_isstrfmt
.k % %t %d %f-c %g-c %e %s
.o @[M-4] stata@

.e [M-4] statistical
.c manual
.t Statistical functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k stat-istics uniform-ly dist-ributed ran-dom num-bers uniform-seed seed
.k mean-s variance-s quadvariance meanvariance quadmeanvar-iance
.k corr-elate corr-elations cov-ariances variance-s quadcross-dev
.k quadcorr-elation precis-ion quad cross prod-ucts dev-iations crossdev
.k factori-al gamma lnfact-orial lngamma digamma trigamma
.k log-arithms log-arithmic comb-inatorial comb-inations
.k normalden normal invnorm-al binorm-al norm-ality
.k chi-2tail 2 chi-squared sq-uared invchi-2tail nchi-2 invnchi-2 npnchi-2
.k t tden-sity ttail invt-tail binom-ial invbinom-ial
.k f fden-sity ftail invf-tail nfden-sity nftail invnftail
.k beta betaden-sity ibeta invibeta nbetaden-sity nibeta invnibeta
.k gammaden-sity gamma-p invgammap dgammapda-da dgammapda-dx dgammapdx-dx
.k cumul-ative distrib-utions dens-ity reverse inv-erse
.k odds ratio-s logit invlogit cloglog invcloglog complem-entary log-log
.k statistical
.o @[M-4] statistical@

.e [M-4] string
.c manual
.t String manipulation functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings par-sing tok-ens match-ed match-es match-ing patt-erns strmatch
.k length strlen sub-strings strpos charac-ters list-s indexnot
.k upper-case lower-case strupper strlower strproper proper
.k trim blank-s right left strltrim strrtrim strtrim ascii code-s char
.k substitut-ion subinstr subinword dup-licated dup-licates strdup
.k reverse order strreverse convert convers-ions real strofreal
.o @[M-4] string@

.e [M-4] utility
.c manual
.t Matrix utility functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k util-ity re im real imaginary c complex extrac-tion
.k row-s colu-mns cols length num-bers eltype orgtype
.k ele-ments type-s pointer-s str-ings real isrealval-ues
.k scal-ars row-vectors col-vectors transmo-rphic stor-age
.k isreal iscomp-lex isstr-ing ispoint-er view isview
.k sym-metric hermit-ian issym-metriconly diag-onals isdiag-onal
.k diag0count diag0cnt zero-s count-s nonmiss-ing miss-ing value-s missingof
.k colmiss-ing rowmiss-ing colnonmiss-ing rownonmiss-ing rowmax colmax
.k min-imums max-imums min-ima max-ima abs-olute rowmin colmin
.k rowminmax colminmax minmax rowmaxabs colmaxabs
.k sum-s rowsum-s colsum-s quadrow-sum quadcol-sum quad-sum precis-ion
.k dev-iations cross prod-ucts crossdev quadcross-dev
.k reldif mreldif mreldifsym mreldifre relativ-e diff-erences
.k comp-arisons all any allof anyof
.k panelsetup panelstats panelsuborgtype panelsubview
.k panel-s data-sets set-s subview mindouble maxdouble smallestdouble
.k machine round-off err-ors eps-ilon unit-s solve_tol tol-erances
.o @[M-4] utility@

.e [M-5] intro
.c manual
.t Mata functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k intro-duction
.o @[M-5] intro@

.e [M-5] abbrev()
.c manual
.t Abbreviate strings
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k abbrev-iations abbrev-iate str-ings abbrev var-iables
.o @[M-5] abbrev()@

.e [M-5] abs()
.c manual
.t Absolute value (length)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k leng-th abs-olute value-s
.o @[M-5] abs()@

.e [M-5] adosubdir()
.c manual
.t Determine ado-subdirectory for file
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k adopath util-ity dir-ectories dir-ectory path-s folder-s
.k site oldplace plus base updates stata adosubdir
.o @[M-5] adosubdir()@

.e [M-5] all()
.c manual
.t Element comparisons
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k ele-ments comp-arisons all any allof anyof
.o @[M-5] all()@

.e [M-5] args()
.c manual
.t Number of arguments
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k arg-uments args synt-ax
.o @[M-5] args()@

.e [M-5] asarray()
.c manual
.t Associative arrays
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k assoc-iations array-s asarray creat-e remov-e contain-ing ele-ments key-s
.k hash-es asarray_create asarray_remove asarray_contains asarray_elements
.k asarray_key-s asarray_first asarray_next asarry_contents asarray_notfound
.k assoc-iative
.o @[M-5] asarray()@

.e [M-5] ascii()
.c manual
.t Manipulate ASCII codes
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k ascii code-s char
.o @[M-5] ascii()@

.e [M-5] assert()
.c manual
.t Abort execution if false
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k assert-ed assert-ion assert-eq false true truth verify
.o @[M-5] assert()@

.e [M-5] blockdiag()
.c manual
.t Block-diagonal matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k block-ed diag-onals block-diagonal
.o @[M-5] blockdiag()@

.e [M-5] bufio()
.c manual
.t Buffered (binary) I/O
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k data-sets set-s manage-ment file-s read-ing load-ing bina-ry buffer
.k io input-ting input-ing output-ting output-ing writ-e writ-ing
.k bufio bufbyteorder bufmissingvalue bufput bufget fbufput fbufget
.k bufbfmtlen bufbfmtisnum
.o @[M-5] bufio()@

.e [M-5] byteorder()
.c manual
.t Byte order used by computer
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k byteorder lohi hilo system file-s format-s
.o @[M-5] byteorder()@

.e [M-5] C()
.c manual
.t Make complex
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k c complex
.o @[M-5] C()@

.e [M-5] c()
.c manual
.t Access c() value
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k value-s c-class class
.o @[M-5] c() (lowercase)@

.e [M-5] callersversion()
.c manual
.t Obtain version number of caller
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k version-s control caller-sversion
.o @[M-5] callersversion()@

.e [M-5] cat()
.c manual
.t Load file into string matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k cat ascii file-s
.o @[M-5] cat()@

.e [M-5] chdir()
.c manual
.t Manipulate directories
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k dir-ectory dir-ectories folder-s path-s
.k remov-e delete cd change make creat-ed
.k pwd chdir _chdir mkdir _mkdir rmdir _rmdir
.o @[M-5] chdir()@

.e [M-5] cholesky()
.c manual
.t Cholesky square-root decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k chol-esky sq-uare root-s decomp-osition
.o @[M-5] cholesky()@

.e [M-5] cholinv()
.c manual
.t Symmetric, positive-definite matrix inversion
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k chol-esky sq-uare root-s decomp-osition cholinv _cholinv
.k inv-erse inv-ersion
.o @[M-5] cholinv()@

.e [M-5] cholsolve()
.c manual
.t Solve AX=B for X using Cholesky decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k chol-esky sq-uare root-s decomp-osition
.k cholsolve _cholsolve solv-e solv-ing
.o @[M-5] cholsolve()@

.e [M-5] comb()
.c manual
.t Combinatorial function
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k comb-inatorial comb-inations
.o @[M-5] comb()@

.e [M-5] cond()
.c manual
.t Condition number
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k cond-itions num-bers
.o @[M-5] cond()@

.e [M-5] conj()
.c manual
.t Complex conjugate
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions _conj
.k conj-ugate transp-ose transp-osition adjoin-t adju-gate hermit-ian
.o @[M-5] conj()@

.e [M-5] corr()
.c manual
.t Make correlation matrix from variance matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k _corr corr-elations corr-elate cov-ariances variance-s
.o @[M-5] corr()@

.e [M-5] cross()
.c manual
.t Cross products
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k cross prod-ucts
.o @[M-5] cross()@

.e [M-5] crossdev()
.c manual
.t Deviation cross products
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k dev-iations cross prod-ucts crossdev
.o @[M-5] crossdev()@

.e [M-5] cvpermute()
.c manual
.t Obtain all permutations
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k permute permu-tation cvpermute cvpermutesetup
.o @[M-5] cvpermute()@

.e [M-5] date()
.c manual
.t Date and time manipulation
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions bofd chms dofb
.k date-s day dow mdy month-ly year-ly yw ym yq yh dofw wofd dofm mofd
.k week-ly quarter-ly halfyear-ly daily dofq qofd dofh hofd dofy yofd doy
.k clock mdyhms dhms hms hh mm ss dofc cofc cmdyhms cdhms hhc hour-s minute-s
.k second-s mmc ssc cofd dow msofhours msofminutes msofseconds time
.k manip-ulation
.o @[M-5] date()@

.e [M-5] deriv()
.c manual
.t Numerical derivatives
.k prog-ramming prog-rams
.k numer-ical derivative-s deriv mata matr-ix matr-ices func-tions
.k deriv_init deriv_init_eval-uatortype deriv_init_par-ams deriv_init_weight-s
.k deriv_init_narg-uments deriv_init_h deriv_init_scal-e deriv_init_bound-s
.k deriv_init_arg-uments deriv_init_search deriv_init_verbose _deriv
.k deriv_result_val-ues deriv_result_grad-ient deriv_result_scor-es
.k _deriv_result_val-ues _deriv_result_grad-ient _deriv_result_scor-es
.k deriv_result_jacob-ian deriv_result_hess-ian
.k _deriv_result_jacob-ian _deriv_result_hess-ian
.k deriv_result_h deriv_result_scal-e deriv_result_del-ta deriv_q-uery
.k deriv_result_err-orcode deriv_result_err-ortext deriv_result_return-code
.o @[M-5] deriv()@

.e [M-5] designmatrix()
.c manual
.t Design matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k design-s design-matrix
.o @[M-5] designmatrix()@

.e [M-5] det()
.c manual
.t Determinant of matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k det-triangular det-erminants triang-le triang-ular
.o @[M-5] det()@

.e [M-5] _diag()
.c manual
.t Replace diagonal of a matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k diag-onals _diag
.o @[M-5] _diag()@

.e [M-5] diag()
.c manual
.t Create diagonal matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k diag-onals
.o @[M-5] diag()@

.e [M-5] diag0cnt()
.c manual
.t Count zeros on diagonal
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k diag-onals diag0count diag0cnt zero-s count-s
.o @[M-5] diag0cnt()@

.e [M-5] diagonal()
.c manual
.t Extract diagonal into column vector
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k extrac-tion diag-onals
.o @[M-5] diagonal()@

.e [M-5] dir()
.c manual
.t File list
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k file-s list-s file-names name-s dir-ectory
.o @[M-5] dir()@

.e [M-5] direxists()
.c manual
.t Whether directory exists
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k dir-ectory path-s direxists exist-ence confirm verify
.o @[M-5] direxists()@

.e [M-5] direxternal()
.c manual
.t Obtain list of existing external globals
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k extern-als global-s var-iables direxternal
.o @[M-5] direxternal()@

.e [M-5] display()
.c manual
.t Display text interpreting SMCL
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k display smcl
.o @[M-5] display()@

.e [M-5] displayas()
.c manual
.t Set display level
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k set display-as as text txt res-ult err-ors
.o @[M-5] displayas()@

.e [M-5] displayflush()
.c manual
.t Flush terminal-output buffer
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k flush-ing flush-es display displayflush
.o @[M-5] displayflush()@

.e [M-5] Dmatrix()
.c manual
.t Duplication matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k dmatrix dup-licates deriv-atives
.o @[M-5] Dmatrix()@

.e [M-5] dsign()
.c manual
.t FORTRAN-like DSIGN() function
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k fort-ran sign-s dsign
.o @[M-5] dsign()@

.e [M-5] e()
.c manual
.t Unit vectors
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k unit-s vec-tors e
.o @[M-5] e()@

.e [M-5] editmissing()
.c manual
.t Edit matrix for missing values
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k edit-ing miss-ing value-s editmissing _editmissing
.o @[M-5] editmissing()@

.e [M-5] edittoint()
.c manual
.t Edit matrix for roundoff error (integers)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k edit-ing round-off err-ors int-egers
.k edittoint _edittoint edittointtol _edittointtol
.o @[M-5] edittoint()@

.e [M-5] edittozero()
.c manual
.t Edit matrix for roundoff error (zeros)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k edit-ing round-off err-ors zero-s
.k edittozero _edittozero edittozerotol _edittozerotol
.o @[M-5] edittozero()@

.e [M-5] editvalue()
.c manual
.t Edit (change) values in matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k edit-ing change modify value-s editvalue _editvalue
.o @[M-5] editvalue()@

.e [M-5] eigensystem()
.c manual
.t Eigenvectors and eigenvalues
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k eigen-system left lefteigen-system
.k eigen-values eigen-vectors symeigen-system
.k symeigen-values _eigen-system _lefteigen-system _eigen-values
.k _symeigen-system _symeigen-values charac-teristics root-s latent
.k _symeigen-_la _eigen-_la
.o @[M-5] eigensystem()@

.e [M-5] eigensystemselect()
.c manual
.t Compute selected eigenvectors and eigenvalues
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k eigen-systemselectr left lefteigen-systemselectr
.k eigensystemselecti lefteigensystemselecti
.k eigensystemselectf lefteigensystemselectf
.k symeigen-systemselectr symeigensystemselecti _symeigenselect_la
.k _eigenselecti_la _eigenselectr_la _eigenselectf_la _eigenselect_la
.k eigen-values eigen-vectors charac-teristics root-s latent
.o @[M-5] eigensystemselect()@

.e [M-5] eltype()
.c manual
.t Element type and organizational type of object
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k ele-ments type-s pointer-s complex str-ings real
.k scal-ars row-vectors col-vectors transmo-rphic
.k eltype orgtype
.o @[M-5] eltype()@

.e [M-5] epsilon()
.c manual
.t Unit roundoff error (machine precision)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k machine precis-ion round-off err-ors eps-ilon unit-s
.o @[M-5] epsilon()@

.e [M-5] _equilrc()
.c manual
.t Row and column equilibration
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k row-s colu-mns equil-ibration
.k _equil-rc _equil-r _equil-c _perhaps-equilrc
.k _perhaps-equilr _perhaps-equilc rowscale-factors colscale-factors
.o @[M-5] _equilrc()@

.e [M-5] error()
.c manual
.t Issue error message
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k err-ors _err-or mess-ages handl-ing
.k display return code-s exit-ing out-putting out-puting
.o @[M-5] error()@

.e [M-5] errprintf()
.c manual
.t Format output and display as error message
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k format-s display out-putting out-puting err-ors smcl errprintf
.o @[M-5] errprintf()@

.e [M-5] exit()
.c manual
.t Terminate execution
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k exit-ing quit end leave stop-ping terminat-e
.o @[M-5] exit()@

.e [M-5] exp()
.c manual
.t Exponentiation and logarithms
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k exp-onentiation exp-onentiated log-arithms log-arithmic ln log-10 10
.o @[M-5] exp()@

.e [M-5] factorial()
.c manual
.t Factorial and gamma function
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k factori-al gamma lnfact-orial lngamma digamma trigamma
.k log-arithms log-arithmic
.o @[M-5] factorial()@

.e [M-5] favorspeed()
.c manual
.t Whether speed or space is to be favored
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k speed space favorspeed
.o @[M-5] favorspeed()@

.e [M-5] ferrortext()
.c manual
.t Text and return code of file error code
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k text-s return code-s file-s error-s ferrortext freturncode fopen _fopen
.k open fwrite _fwrite fstatus process-es
.o @[M-5] ferrortext()@

.e [M-5] fft()
.c manual
.t Fourier transform
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k fast fourier transfo-rmations transfo-rms
.k periodo-grams spectr-al spectr-um freq-uency
.k corr-elation fft invfft _fft _invfft
.k convol-ve convol-ution deconvol-ve deconvol-ution
.k ftper-iodogram ftpad ftwrap ftre-time ftunwrap ftfreqs
.o @[M-5] fft()@

.e [M-5] fileexists()
.c manual
.t Whether file exists
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k fileexist-s confirm exist-ence file-s file-names name-s
.o @[M-5] fileexists()@

.e [M-5] _fillmissing()
.c manual
.t Fill matrix with missing values
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k fill miss-ing value-s _fillmissing
.o @[M-5] _fillmissing()@

.e [M-5] findexternal()
.c manual
.t Find, create, and remove external globals
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k extern-als global-s pointer-s name-s
.k findext-ernal crext-ernal rmext-ernal nameext-ernal
.o @[M-5] findexternal()@

.e [M-5] findfile()
.c manual
.t Find file
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k find-files file-s adopath system dir-ectories dir-ectory path-s folder-s
.o @[M-5] findfile()@

.e [M-5] floatround()
.c manual
.t Round to float precision
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k float-round round float-s precis-ion
.o @[M-5] floatround()@

.e [M-5] fmtwidth()
.c manual
.t Width of %fmt
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k width format-s fmt-width fmt %fmt
.o @[M-5] fmtwidth()@

.e [M-5] fopen()
.c manual
.t File I/O
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k fopen _fopen fclose _fclose fget _fget fgetnl _fgetnl fread _fread
.k fput _fput fwrite _fwrite fgetmat-rix _fgetmat-rix fputmat-rix _fputmat-rix
.k fstatus ftell _ftell fseek _fseek ftrunc-ate _ftrunc-ate
.k file-names name-s file-s manip-ulation input-ting input-ing
.k read-ing load-ing io output-ting output-ing writ-e writ-ing
.k open close
.o @[M-5] fopen()@

.e [M-5] fullsvd()
.c manual
.t Full singular value decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k fullsvd fullsdiag _fullsvd _svd_la
.k decomp-osition general-ized inv-erse inv-ersion
.k singular value-s svd
.o @[M-5] fullsvd()@

.e [M-5] geigensystem()
.c manual
.t Generalized eigenvectors and eigenvalues
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k geigensystem leftgeigensystem geigensystemselectr leftgeigensystemselectr
.k geigensystemselecti leftgeigensystemselecti
.k geigensystemselectf leftgeigensystemselectf _geigen_la
.k _geigensystem_la _geigenselectr_la _geigenselecti_la _geigenselectf_la
.k general-ized eigen-values eigen-vectors left
.o @[M-5] geigensystem()@

.e [M-5] ghessenbergd()
.c manual
.t Generalized Hessenberg decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k hessenberg ghessenberg-d _ghessenberg-d _ghessenbergd_la
.k general-ized upper form decomp-osition
.o @[M-5] ghessenbergd()@

.e [M-5] ghk()
.c manual
.t Geweke-Hajivassiliou-Keane (GHK) multivariate normal simulator
.k mata matr-ix matr-ices ghk_init ghk_init_method ghk_init_start
.k ghk_init_pivot ghk_init_antithetics ghk_query_npts
.k prog-ramming prog-rams func-tions
.k ghk geweke hajivassiliou keane multiv-ariate norm-al simulator simul-ations
.o @[M-5] ghk()@

.e [M-5] ghkfast()
.c manual
.t GHK multi. normal simulator using pregenerated points
.k mata matr-ix matr-ices ghkfast_init ghkfast_init_pivot
.k ghkfast_init_antithetics ghkfast_query_n ghkfast_query_npts
.k ghkfast_query_dim ghkfast_query_method ghkfast_query_rseed
.k ghkfast_query_pointset_i ghkfast_i
.k prog-ramming prog-rams func-tions
.k ghk-fast fast geweke hajivassiliou keane multiv-ariate norm-al simulator
.k simul-ations point-s ghkfastsetup
.o @[M-5] ghkfast()@

.e [M-5] gschurd()
.c manual
.t Generalized Schur decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k gschurd _gschurd gschurdgroup-by _gschurdgroup-by
.k schur vec-tors form decomp-osition general-ized eigen-values
.o @[M-5] gschurd()@

.e [M-5] halton()
.c manual
.t Generate a Halton or Hammersley set
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions ghalton _halton
.k halton hammersley quasi rand-om seq-uences set-s
.o @[M-5] halton()@

.e [M-5] hash1()
.c manual
.t Jenkins' one-at-a-time hash function
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k one hash-1 hash-es jenkin-s
.o @[M-5] hash1()@

.e [M-5] hessenbergd()
.c manual
.t Hessenberg decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k hessenberg-d _hessenberg-d _hessenbergd_la upper form decomp-osition
.o @[M-5] hessenbergd()@

.e [M-5] Hilbert()
.c manual
.t Hilbert matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k hilbert invhilbert inv-erse
.o @[M-5] Hilbert()@

.e [M-5] I()
.c manual
.t Identity matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k iden-tity i
.o @[M-5] I()@

.e [M-5] inbase()
.c manual
.t Base conversion
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k in-base base convers-ions frombase str-ings
.o @[M-5] inbase()@

.e [M-5] indexnot()
.c manual
.t Find character not in list
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k charac-ters str-ings list-s indexnot
.o @[M-5] indexnot()@

.e [M-5] invorder()
.c manual
.t Permutation vector manipulation
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k invord-er revord-er permu-tation vec-tors reverse
.o @[M-5] invorder()@

.e [M-5] invsym()
.c manual
.t Symmetric real matrix inversion
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k invsym _invsym general-ized inv-erse inv-ersion sym-metric
.o @[M-5] invsym()@

.e [M-5] invtokens()
.c manual
.t Concatenate string rowvector into string scalar
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k concat-enation concat-enate str-ings row-vectors vec-tors scal-ars
.k invtokens
.o @[M-5] invtokens()@

.e [M-5] isdiagonal()
.c manual
.t Whether matrix is diagonal
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k diag-onals isdiag-onal
.o @[M-5] isdiagonal()@

.e [M-5] isfleeting()
.c manual
.t Whether argument is temporary
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k arg-uments temp-orary isfleet-ing
.o @[M-5] isfleeting()@

.e [M-5] isreal()
.c manual
.t Storage type of matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k isreal iscomp-lex isstr-ing ispoint-er
.k stor-age str-ings complex real pointer-s
.o @[M-5] isreal()@

.e [M-5] isrealvalues()
.c manual
.t Whether matrix contains only real values
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k real isrealval-ues
.o @[M-5] isrealvalues()@

.e [M-5] issymmetric()
.c manual
.t Whether matrix is symmetric (Hermitian)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k sym-metric hermit-ian issym-metriconly
.o @[M-5] issymmetric()@

.e [M-5] isview()
.c manual
.t Whether matrix is view
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k view isview
.o @[M-5] isview()@

.e [M-5] J()
.c manual
.t Matrix of constants
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k constant-s j
.o @[M-5] J()@

.e [M-5] Kmatrix()
.c manual
.t Commutation matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k kmatrix commutation deriv-atives
.o @[M-5] Kmatrix()@

.e [M-5] lapack()
.c manual
.t LAPACK linear-algebra functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams
.k lapak lapac-k eispack linpack blas
.k _flopin _flopout la_dgebak la_zgebak la_dgebal la_zgebal la_dgees la_zgees
.k la_dgeev la_zgeev la_dgehrd la_zgehrd la_dggbak la_zggbak
.k la_dggbal la_zggbal la_dgghrd la_zgghrd la_dhgeqz la_zhgeqz
.k la_dhsein la_zhsein la_dhseqr la_zhseqr la_dlamch la_dorghr la_dsyevx
.k la_dtgsen la_ztgsen la_dtgevc la_ztgevc la_dtrevc la_ztrevc
.k la_dtrsen la_ztrsen la_zunghr la_dgbmv
.k dgebak zgebak dgebal zgebal dgees zgees
.k dgeev zgeev dgehrd zgehrd dggbak zggbak
.k dggbal zggbal dgghrd zgghrd dhgeqz zhgeqz
.k dhsein zhsein dhseqr zhseqr dlamch dorghr dsyevx
.k dtgsen ztgsen dtgevc ztgevc dtrevc ztrevc
.k dtrsen ztrsen zunghr
.o @[M-5] lapack()@

.e [M-5] liststruct()
.c manual
.t List structure's contents
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k struct-ures list-s liststruct
.o @[M-5] liststruct()@

.e [M-5] Lmatrix()
.c manual
.t Elimination matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k elim-ination deriv-atives lmatrix
.o @[M-5] Lmatrix()@

.e [M-5] logit()
.c manual
.t Log odds and complementary log-log
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k odds ratio-s logit invlogit cloglog invcloglog
.k complem-entary log-log log-arithms log-arithmic
.o @[M-5] logit()@

.e [M-5] lowertriangle()
.c manual
.t Extract lower or upper triangle
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k lowertri-angle uppertri-angle _lowertri-angle _uppertri-angle
.k triang-le triang-ular lower upper extrac-tion
.o @[M-5] lowertriangle()@

.e [M-5] lud()
.c manual
.t LU decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k lud _lud _lud_la lu decomp-osition
.o @[M-5] lud()@

.e [M-5] luinv()
.c manual
.t Square matrix inversion
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k luinv _luinv _luinv_la lu
.k inv-erse inv-ersion sq-uare
.o @[M-5] luinv()@

.e [M-5] lusolve()
.c manual
.t Solve AX=B for X using LU decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k lusolve _lusolve _lusolve_la lu decomp-osition solv-e solv-ing
.o @[M-5] lusolve()@

.e [M-5] makesymmetric()
.c manual
.t Make square matrix symmetric (Hermitian)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k sym-metric hermit-ian makesym-metric _makesym-metric
.o @[M-5] makesymmetric()@

.e [M-5] matexpsym()
.c manual
.t Exponentiation and logarithms of symmetric matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k matexp-sym matlog-sym _matexp-sym _matlog-sym
.k sym-metric log-arithms log-arithmic natural
.k exp-onentiation exp-onentiated
.o @[M-5] matexpsym()@

.e [M-5] matpowersym()
.c manual
.t Powers of a symmetric matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k matpower-sym _matpower-sym power-s sym-metric
.o @[M-5] matpowersym()@

.e [M-5] mean()
.c manual
.t Means, variances, and correlations
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k mean-s variance-s quadvariance meanvariance quadmeanvar-iance
.k corr-elate corr-elations quadcorr-elation precis-ion quad
.o @[M-5] mean()@

.e [M-5] mindouble()
.c manual
.t Minimum and maximum nonmissing value
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k min-imums max-imums nonmiss-ing value-s
.k mindouble maxdouble smallestdouble
.o @[M-5] mindouble()@

.e [M-5] minindex()
.c manual
.t Indices of minimums and maximums
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k min-imums max-imums min-ima max-ima value-s index indic-es
.k minindex maxindex
.o @[M-5] minindex()@

.e [M-5] minmax()
.c manual
.t Minimums and maximums
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k min-imums max-imums min-ima max-ima value-s abs-olute
.k colu-mns row-s
.k rowmin colmin rowmax colmax
.k rowminmax colminmax minmax rowmaxabs colmaxabs
.o @[M-5] minmax()@

.e [M-5] missing()
.c manual
.t Count missing and nonmissing values
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k nonmiss-ing miss-ing value-s count-s colu-mns row-s
.k colmiss-ing rowmiss-ing colnonmiss-ing rownonmiss-ing hasmiss-ing
.o @[M-5] missing()@

.e [M-5] missingof()
.c manual
.t Appropriate missing value
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k miss-ing value-s missingof
.o @[M-5] missingof()@

.e [M-5] mod()
.c manual
.t Modulus
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k mod-ulus
.o @[M-5] mod()@

.e [M-5] moptimize()
.c manual
.t Model optimization
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k model-s optimiz-e optimal max-imization min-imums min-imization min-imize
.k post display-ing obtain result-s util-ity set-s set-tings samp-les
.k samp-ling specifica-tion specifici-ty specify var-iables depend-ent
.k indep-endent constrain-ts weight-ed weight-s weight-ing svy survey-s
.k data-sets set-s clus-tered clus-ters clus-tering panel-s trace
.k optimi-zation eval-uators mopt-imize _mopt-imize moptimize_init
.k moptimize_init_which moptimize_init_eval-uatortype
.k moptimize_init_negh moptimize_init_touse moptimize_init_view
.k moptimize_init_ndepvar-s moptimize_init_depvar moptimize_init_eq_n
.k moptimize_init_eq_indepvar-s moptimize_init_eq_con-s
.k moptimize_init_eq_offset moptimize_init_eq_expos-ure
.k moptimize_init_eq_name moptimize_init_eq_colname-s
.k moptimize_init_eq_coef-s moptimize_init_cons-traints
.k moptimize_init_search moptimize_init_search_random
.k moptimize_init_search_repeat moptimize_init_search_bound-s
.k moptimize_init_search_rescale moptimize_init_weight-type
.k moptimize_init_clus-ter moptimize_init_svy moptimize_init_by
.k moptimize_init_nuse-rinfo moptimize_init_use-rinfo
.k moptimize_init_tech-nique moptimize_init_vce-type
.k moptimize_init_nmsimplex-deltas moptimize_init_gnweight-matrix
.k moptimize_init_sing-ularhmethod moptimize_init_conv_max-iter
.k moptimize_init_conv_warn-ing moptimize_init_conv_ptol
.k moptimize_init_conv_vtol moptimize_init_conv_nrtol
.k moptimize_init_conv_ignore-tol moptimize_init_iter-id
.k moptimize_init_val-ueid moptimize_init_trace-level
.k moptimize_init_trace-_ado moptimize_init_trace-_dots
.k moptimize_init_trace-_value moptimize_init_trace-_tol
.k moptimize_init_trace-_coefs moptimize_init_trace_step
.k moptimize_init_trace-_gradient moptimize_init_trace-_hessian
.k moptimize_init_eval-uations moptimize_init_verbose
.k moptimize_eval-uate _moptimize_eval-uate moptimize_result-_post
.k moptimize_result-_display moptimize_result_-value0
.k moptimize_result-_coefs moptimize_result-_colstripe
.k moptimize_result-_scores moptimize_result-_gradient
.k moptimize_result-_hessian moptimize_result-_vtype
.k moptimize_result-_v_oim moptimize_result-_v_opg
.k moptimize_result-_v_robust moptimize_result-_iterations
.k moptimize_result-_converged moptimize_result-_iterationlog
.k moptimize_result-_evaluations moptimize_result-_errorcode
.k moptimize_result-_errortext moptimize_result-_returncode
.k moptimize_ado-_cleanup moptimize_q-uery moptimize_util_eq-_indices
.k moptimize_util_depvar moptimize_util_xb moptimize_util_sum
.k moptimize_util_vec-sum moptimize_util_mat-sum moptimize_util_mat-bysum
.o @[M-5] moptimize()@

.e [M-5] more()
.c manual
.t Create --more-- condition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k more pause wait paging setmore-onexit
.o @[M-5] more()@

.e [M-5] _negate()
.c manual
.t Negate real matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k _negate negate neg-ative
.o @[M-5] _negate()@

.e [M-5] norm()
.c manual
.t Matrix and vector norms
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k norm-s vec-tors
.o @[M-5] norm()@

.e [M-5] normal()
.c manual
.t Cumulatives, reverse cumulatives, and densities
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions dunnettprob
.k normalden normal invnorm-al binorm-al norm-ality lnnormal-den
.k chi-2tail 2 chi-squared sq-uared invchi-2tail nchi-2 invnchi-2 npnchi-2
.k t tden-sity ttail invt-tail binom-ial invbinom-ial binomialp
.k f fden-sity ftail invf-tail nfden-sity nftail invnftail
.k beta betaden-sity ibeta invibeta nbetaden-sity nibeta invnibeta
.k gammaden-sity gamma-p invgammap dgammapda-da dgammapda-dx dgammapdx-dx
.k stat-istics cumul-ative distrib-utions dens-ity reverse inv-erse
.k gammaptail invgammaptail binomial-tail ibetatail invibetatail
.k invbinomialtail hypergeometric hypergeometricp invdunnettprob
.k invnbinomial invnbinomialtail invpoisson invpoissontail invtukeyprob
.k nbinomial nbinomialp nbinomialtail poisson poissonp poissontail
.o @[M-5] normal()@

.e [M-5] optimize()
.c manual
.t Function optimization
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k optimiz-e param-eters vec-tors scal-ars optimi-zation eval-uators d1-debug
.k d2-debug eval-uatortype eval-uate d0 d1 d2 d1debug d2debug v0 v1 v2
.k v1debug v2debug newton-raphson raphson dfp davidon fletcher
.k powell bfgs broyden goldfarb shanno bhhh berndt hall hausman
.k nelder-mead mead marquardt hybrid value-s tol-erances step gradient hessian
.k max-imization min-imums max-imums scor-es oim opg robust iter-ations
.k optimize_init optimize_init_which optimize_init_eval-uatortype
.k optimize_init_param-s optimize_init_nmsimplex-deltas
.k optimize_init_arg-uments optimize_init_narg-uments
.k optimize_init_tech-niques optimize_init_singular-hmethod
.k optimize_init_conv_ptol optimize_init_conv_vtol optimize_init_conv_nrtol
.k optimize_init_val-ueid optimize_init_trace-level
.k optimize_init_constr-aints optimize_init_verbose
.k _optimize optimize_eval-uate _optimize_eval-uate
.k optimize_result optimize_result_params optimize_result_val-ues
.k optimize_result_val-ue0 optimize_result_gradient optimize_result_score-s
.k optimize_result_hess-ian optimize_result_v-type optimize_result_v_oim
.k optimize_result_v_opg optimize_result_v_rob-ust optimize_result_iter-ations
.k optimize_result_conver-ged optimize_result_iter-ationlog
.k optimize_result_error-codes optimize_result_error-text
.k optimize_result_return-code optimize_query
.o @[M-5] optimize()@

.e [M-5] panelsetup()
.c manual
.t Panel-data processing
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k panelsetup panelstats panelsuborgtype panelsubview panelsubmatrix
.k panel-s data-sets set-s view subview
.o @[M-5] panelsetup()@

.e [M-5] pathjoin()
.c manual
.t File path manipulation
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k pathjoin pathsplit pathbase-name pathsuffix pathrmsuffix
.k pathisurl pathisabs pathasciisuffix pathstatasuffix
.k pathlist pathsubsys-dir pathsearchlist
.k dir-ectory dir-ectories path-s folder-s url split join
.k file-names name-s file-s manip-ulation
.o @[M-5] pathjoin()@

.e [M-5] pinv()
.c manual
.t Moore-Penrose pseudoinverse
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k pinv _pinv
.k moore-penrose penrose pseudoinv-erse general-ized inv-erse inv-ersion
.o @[M-5] pinv()@

.e [M-5] polyeval()
.c manual
.t Manipulate and evaluate polynomials
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k polyeval polysolve polytrim polyderiv polyinteg
.k polyadd polymult polydiv polyroot-s
.k poly-nomials root-s solv-e solv-ing deriv-atives integral-s
.k add-ition subt-raction mult-iplication div-ision
.o @[M-5] polyeval()@

.e [M-5] printf()
.c manual
.t Format output
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k printf sprintf print-ing out-putting out-puting
.o @[M-5] printf()@

.e [M-5] qrd()
.c manual
.t QR decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k qrd-p hqrd-q1 _hqrd-p_la hqrdmult-q1t hqrd-r1 hqrdp
.k qr decomp-osition household-er pivot-ing
.o @[M-5] qrd()@

.e [M-5] qrinv()
.c manual
.t Generalized inverse of matrix via QR decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k qr decomp-osition qrinv _qrinv general-ized inv-erse inv-ersion
.o @[M-5] qrinv()@

.e [M-5] qrsolve()
.c manual
.t Solve AX=B for X using QR decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k solv-e solv-ing qr decomp-osition qrsolve _qrsolve
.o @[M-5] qrsolve()@

.e [M-5] quadcross()
.c manual
.t Quad-precision cross products
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k quad precis-ion quadcross-dev cross prod-ucts dev-iations
.o @[M-5] quadcross()@

.e [M-5] range()
.c manual
.t Vector over specified range
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k range rangen vec-tors
.o @[M-5] range()@

.e [M-5] rank()
.c manual
.t Rank of matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k rank-s
.o @[M-5] rank()@

.e [M-5] Re()
.c manual
.t Extract real or imaginary part
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k re im real imaginary complex extrac-tion
.o @[M-5] Re()@

.e [M-5] reldif()
.c manual
.t Relative/absolute difference
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k reldif mreldif mreldifsym mreldifre
.k relativ-e abs-olute diff-erences sym-metric hermit-ian real
.o @[M-5] reldif()@

.e [M-5] rows()
.c manual
.t Number of rows and number of columns
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k row-s colu-mns cols length num-bers
.o @[M-5] rows()@

.e [M-5] rowshape()
.c manual
.t Reshape matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k reshape rowshape colshape row-s colu-mns
.o @[M-5] rowshape()@

.e [M-5] runiform()
.c manual
.t Uniform and nonuniform pseudorandom variates
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k beta binom-ial chi-squared sq-uared chi-2 2 gamma
.k hypergeom-etric neg-ative gauss-ian norm-al poisson stud-entst t
.k uniform-ly dist-ributed ran-dom num-bers variat-es uniform-seed seed
.k runiform rseed rbeta rbinomial rchi2 rdiscrete rgamma rhypergeometric
.k rnbinomial rnormal rpoisson rt
.o @[M-5] runiform()@

.e [M-5] runningsum()
.c manual
.t Running sum of vector
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k running-sums sum-s vector-s quadrunning-sums miss-ing value-s
.k _running-sums _quadrunning-sums
.o @[M-5] runningsum()@

.e [M-5] schurd()
.c manual
.t Schur decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k schur-d _schurd schurdgroup-by _schurdgroup-by
.k vec-tors form decomp-osition eigen-values
.o @[M-5] schurd()@

.e [M-5] select()
.c manual
.t Select rows or columns
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k selec-tion st_select row-s colu-mns
.o @[M-5] select()@

.e [M-5] setbreakintr()
.c manual
.t Break-key processing
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k break-keys key-s break-keyreset setbreak-keyintr querybreak-intr
.k stop-ping setbreakintr
.o @[M-5] setbreakintr()@

.e [M-5] sign()
.c manual
.t Sign and complex quadrant functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k complex sign-s quadrant
.o @[M-5] sign()@

.e [M-5] sin()
.c manual
.t Trigonometric and hyperbolic functions
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k trig-onometric hyperbol-ic
.k sin-e cos-ine tan-gent arc arcsin-e arccos-ine
.k asin acos atan-2 atan-h
.k asinr acosr atanr arg sinh cosh tanh asinh acosh pi
.o @[M-5] sin()@

.e [M-5] sizeof()
.c manual
.t Number of bytes consumed by object
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k byte-s sizeof size-s
.o @[M-5] sizeof()@

.e [M-5] solve_tol()
.c manual
.t Tolerance used by solvers and inverters
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k solv-e solv-ing _solvetol-erance solve_tol inv-erse inv-ersion tol-erances
.o @[M-5] solve_tol()@

.e [M-5] solvelower()
.c manual
.t Solve AX=B for X, A triangular
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k triang-le triang-ular upper lower solv-e solv-ing
.k solve-lower solve-upper _solve-lower _solve-upper
.o @[M-5] solvelower()@

.e [M-5] sort()
.c manual
.t Reorder rows of matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k sort _sort jumble _jumble order unorder _collate
.k reorder permu-tation vec-tors ascend-ing descend-ing
.o @[M-5] sort()@

.e [M-5] soundex()
.c manual
.t Convert string to soundex code
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k soundex soundex_nara nara str-ings code-s convert convers-ions
.o @[M-5] soundex()@

.e [M-5] spline3()
.c manual
.t Cubic spline interpolation
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k cub-ic natural spline-s spline-3 spline-3eval interpo-lations interpo-late
.o @[M-5] spline3()@

.e [M-5] sqrt()
.c manual
.t Square root
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k sq-uare root-s sqrt
.o @[M-5] sqrt()@

.e [M-5] st_addobs()
.c manual
.t Add observations to current Stata dataset
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k add obs-ervations data-sets set-s st_addobs _st_addobs
.o @[M-5] st_addobs()@

.e [M-5] st_addvar()
.c manual
.t Add variable to current Stata dataset
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables add data-sets set-s st_addvar _st_addvar
.o @[M-5] st_addvar()@

.e [M-5] st_data()
.c manual
.t Load copy of current Stata dataset
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k data-sets set-s var-iable st_data st_sdata _st_data _st_sdata
.k var-iables obs-ervations
.o @[M-5] st_data()@

.e [M-5] st_dir()
.c manual
.t Obtain list of Stata objects
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k dir-ectory st_dir scal-ars
.k r e s global-ly global-s macro-s local-ly char charac-teristics
.o @[M-5] st_dir()@

.e [M-5] st_dropvar()
.c manual
.t Drop variables or observations
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables obs-ervations st_drop-var st_drop-obsin st_drop-obsif
.k st_keep-var st_keep-obsin st_keep-obsif drop keep
.o @[M-5] st_dropvar()@

.e [M-5] st_global()
.c manual
.t Obtain strings from and put strings into global macros
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings global-ly global-s macro-s st_global st_global_hcat
.o @[M-5] st_global()@

.e [M-5] st_isfmt()
.c manual
.t Whether valid %fmt
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k format-s st_isfmt st_isnumfmt st_isstrfmt
.k % %t %d %f-c %g-c %e %s str-ings num-bers num-erical
.o @[M-5] st_isfmt()@

.e [M-5] st_isname()
.c manual
.t Whether valid Stata name
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k name-s macro-s local-ly st_isname st_islmname
.o @[M-5] st_isname()@

.e [M-5] st_local()
.c manual
.t Obtain strings from and put strings into Stata macros
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k st_local macro-s local-ly str-ings
.o @[M-5] st_local()@

.e [M-5] st_macroexpand()
.c manual
.t Expand Stata macros in string
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k expand macro-s st_macro-expand _st_macro-expand
.o @[M-5] st_macroexpand()@

.e [M-5] st_matrix()
.c manual
.t Obtain and put Stata matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions st_matrix_hcat
.k st_matrix st_matrix-rowstripe st_matrix-colstripe st_replace-matrix
.k name-s row-s colu-mns rowname-s colname-s stripe-s
.o @[M-5] st_matrix()@

.e [M-5] st_numscalar()
.c manual
.t Obtain values from and put values into Stata scalars
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions st_numscalar_hcat
.k scal-ars st_numscalar st_strscalar str-ings num-bers
.o @[M-5] st_numscalar()@

.e [M-5] st_nvar()
.c manual
.t Number of variables and observations
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables obs-ervations num-bers st_nvar st_nobs
.o @[M-5] st_nvar()@

.e [M-5] st_rclear()
.c manual
.t Clear r(), e(), or s()
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k r-class s-class e-class
.k clear st_rclear st_eclear st_sclear
.o @[M-5] st_rclear()@

.e [M-5] st_store()
.c manual
.t Modify values stored in current Stata dataset
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k store change modify replace
.k var-iables obs-ervations value-s
.k _st_store st_store _st_sstore st_sstore
.o @[M-5] st_store()@

.e [M-5] st_subview()
.c manual
.t Make view from view
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k view subview st_subview
.o @[M-5] st_subview()@

.e [M-5] st_tempname()
.c manual
.t Temporary Stata names
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables temp-orary file-names name-s file-s
.k st_temp-name st_temp-filename
.o @[M-5] st_tempname()@

.e [M-5] st_tsrevar()
.c manual
.t Create time-series op.varname variables
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k st_tsrevar time-series series tsrevar
.k oper-ators temp-orary var-iables creat-e
.o @[M-5] st_tsrevar()@

.e [M-5] st_updata()
.c manual
.t Determine or set data-have-changed flag
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k data-sets set-s changed st_updata
.o @[M-5] st_updata()@

.e [M-5] st_varformat()
.c manual
.t Obtain/set format, etc., of Stata variable
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables format-s value-s label-s
.k st_varformat st_varlabel st_varvaluelabel
.o @[M-5] st_varformat()@

.e [M-5] st_varindex()
.c manual
.t Obtain variable indices from variable names
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables name-s index indic-es st_varindex _st_varindex
.o @[M-5] st_varindex()@

.e [M-5] st_varname()
.c manual
.t Obtain variable names from variable indices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables name-s index indic-es st_varname
.o @[M-5] st_varname()@

.e [M-5] st_varrename()
.c manual
.t Rename Stata variable
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables rename st_varrename
.o @[M-5] st_varrename()@

.e [M-5] st_vartype()
.c manual
.t Storage type of Stata variable
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables stor-age type-s st_vartype st_isnumvar st_isstrvar
.k str-ings num-bers num-erical
.o @[M-5] st_vartype()@

.e [M-5] st_view()
.c manual
.t Make matrix that is a view onto current Stata dataset
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables obs-ervations view data-sets set-s st_view st_sview
.o @[M-5] st_view()@

.e [M-5] st_viewvars()
.c manual
.t Variables and observations of view
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k var-iables obs-ervations view st_viewvars st_viewobs
.o @[M-5] st_viewvars()@

.e [M-5] st_vlexists()
.c manual
.t Use and manipulate value labels
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k st_vlexists st_vldrop st_vlmap st_vlsearch st_vlload st_vlmodify
.k label-s value-s var-iables
.o @[M-5] st_vlexists()@

.e [M-5] stata()
.c manual
.t Execute Stata command
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k stata _stata exec-ute command-s
.o @[M-5] stata()@

.e [M-5] stataversion()
.c manual
.t Version of Stata being used
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k version-s release-s stataversion statasetversion
.o @[M-5] stataversion()@

.e [M-5] strdup()
.c manual
.t String duplication
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings dup-licated dup-licates strdup
.o @[M-5] strdup()@

.e [M-5] strlen()
.c manual
.t Length of string
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k length str-ings strlen
.o @[M-5] strlen()@

.e [M-5] strmatch()
.c manual
.t Determine whether string matches pattern
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings match-ed match-es match-ing patt-erns strmatch
.o @[M-5] strmatch()@

.e [M-5] strofreal()
.c manual
.t Convert real to string
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings convert convers-ions real strofreal
.o @[M-5] strofreal()@

.e [M-5] strpos()
.c manual
.t Find substring in string
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k sub-strings str-ings strpos
.o @[M-5] strpos()@

.e [M-5] strreverse()
.c manual
.t Reverse string
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings reverse order strreverse
.o @[M-5] strreverse()@

.e [M-5] strtoname()
.c manual
.t Convert a string to a Stata name
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k convert convers-ions str-ings stata name-s charac-ters strtoname
.o @[M-5] strtoname()@

.e [M-5] strtoreal()
.c manual
.t Convert string to real
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings convert convers-ions real strtoreal _strtoreal
.o @[M-5] strtoreal()@

.e [M-5] strtrim()
.c manual
.t Remove blanks
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings trim blank-s right left strltrim strrtrim strtrim stritrim
.o @[M-5] strtrim()@

.e [M-5] strupper()
.c manual
.t Convert string to uppercase (lowercase)
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings upper-case lower-case strupper strlower
.k strproper proper
.o @[M-5] strupper()@

.e [M-5] subinstr()
.c manual
.t Substitute text
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings substitut-ion subinstr subinword
.o @[M-5] subinstr()@

.e [M-5] sublowertriangle()
.c manual
.t Return a matrix with zeros above a diagonal
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k sublowertriangle _sublowertriangle
.k triang-le triang-ular lower sublower extrac-tion
.o @[M-5] sublowertriangle()@

.e [M-5] _substr()
.c manual
.t Substitute into string
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k str-ings substitut-e substitut-ion _substr
.o @[M-5] _substr()@

.e [M-5] substr()
.c manual
.t Extract substring
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k sub-strings str-ings
.o @[M-5] substr()@

.e [M-5] sum()
.c manual
.t Sums
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k row-s col-umns
.k sum-s rowsum-s colsum-s quadrow-sum quadcol-sum
.k quad-sum precis-ion
.o @[M-5] sum()@

.e [M-5] svd()
.c manual
.t Singular value decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k decomp-osition general-ized inv-erse inv-ersion
.k singular value-s svd _svd_la svdsv _svd _svdsv
.o @[M-5] svd()@

.e [M-5] svsolve()
.c manual
.t Solve AX=B for X using singular value decomposition
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k decomp-osition general-ized inv-erse inv-ersion svd
.k singular value-s svsolve _svsolve solv-e solv-ing
.o @[M-5] svsolve()@

.e [M-5] swap()
.c manual
.t Interchange contents of variables
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k swap interch-ange
.o @[M-5] swap()@

.e [M-5] Toeplitz()
.c manual
.t Toeplitz matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k toep-litz
.o @[M-5] Toeplitz()@

.e [M-5] tokenget()
.c manual
.t Advanced parsing
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions tokenqchars
.k tok-enget str-ings par-sing tok-enset tok-engetall tok-enpeek tok-enrest
.k tok-enoffset tok-enwchars tok-enpchars tok-enchars tok-enallownum
.k tok-enallowhex tok-eninitstata white-s space charac-ters quot-es blank-s
.o @[M-5] tokenget()@

.e [M-5] tokens()
.c manual
.t Obtain tokens from string
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k par-sing tok-ens str-ings
.o @[M-5] tokens()@

.e [M-5] trace()
.c manual
.t Trace of square matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k trace diag-onals
.o @[M-5] trace()@

.e [M-5] _transpose()
.c manual
.t Transposition in place
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k transp-ose transp-osition _trans-pose _conj conj-ugate
.o @[M-5] _transpose()@

.e [M-5] transposeonly()
.c manual
.t Transposition without conjugation
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k transp-ose transp-osition transpose-only _trans-poseonly
.o @[M-5] transposeonly()@

.e [M-5] trunc()
.c manual
.t Round to integer
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k inte-gers trunc-ated trun-cation floor ceil-ing round
.o @[M-5] trunc()@

.e [M-5] uniqrows()
.c manual
.t Obtain sorted, unique values
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k uniq-ue uniq-rows sort row-s
.o @[M-5] uniqrows()@

.e [M-5] unitcircle()
.c manual
.t Complex vector containing unit circle
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions complex
.k unit-s unit-circles circle-s vec-tors
.o @[M-5] unitcircle()@

.e [M-5] unlink()
.c manual
.t Erase file
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k erase delete file-s remov-e unlink _unlink
.o @[M-5] unlink()@

.e [M-5] valofexternal()
.c manual
.t Obtain value of external global
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k global-s scal-ars vec-tors extern-als valof-external
.o @[M-5] valofexternal()@

.e [M-5] Vandermonde()
.c manual
.t Vandermonde matrices
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k vander-monde geom-etric
.o @[M-5] Vandermonde()@

.e [M-5] vec()
.c manual
.t Stack matrix columns
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k stack-ed col-umns vec vech invvech
.o @[M-5] vec()@

.e [M-6] Glossary
.c manual
.t Glossary
.k mata matr-ix matr-ices prog-ramming prog-rams func-tions glossary
.k .mata .mo mo .mlib mlib libr-ary libr-aries file-s
.k arg-uments broad type-s eltype orgtype c p r conform-ability conform-able
.k row-s colu-mns vec-tors col-vectors row-vectors complex
.k cond-itions num-bers num-erical conj-ugate transp-ose transp-osition
.k data-sets set-s declar-ations defect-ive diag-onals eps-ilon
.k expr-essions exp extern-als obs-ervations var-iables global-ly global-s
.k hermit-ian istmt j lapak lapac-k lval machine precis-ion norm-s
.k null optimi-zation orthog-onal unitary permu-tation
.k pointer-s pragma rank-s real scal-ars sq-uare str-ings
.k subsc-ripts subsc-ripting sym-metriconly traceback log-s
.k transp-ose transp-osition triang-le triang-ular view void
.o @[M-6] Glossary@

.e help _assert_mreldif
.c manual
.t Assert that two matrices are the same
.k prog-ramming prog-rams matr-ix matr-ices assert-ed assert-ion
.k relativ-e diff-erences _assert_mreldif-s _assert_mreldifp
.o @_assert_mreldif@

.e help _check_omit
.c manual
.t Programmer's utility for checking collinearity behavior
.k prog-ramming prog-rams _check_omit collinear-ity omit-ted var-iables
.o @_check_omit@

.e help _check4gropts
.c manual
.t Parsing tool for graph commands
.k prog-ramming prog-rams graph-s graph-ics graph-ing opt-ions pars-e pars-ing
.k _check4gropts
.o @_check4gropts@

.e help _cmdxel
.c manual
.t Parsing commands with expression lists
.k prog-ramming prog-rams expr-essions list-s pars-e pars-ing _cmdxel
.o @_cmdxel@

.e help _coef_table
.c manual
.t Displaying estimation results
.k prog-ramming prog-rams _coef_table display-ing est-imation result-s
.o @_coef_table@

.e help _coef_table_header
.c manual
.t Automatic headers for coefficient tables
.k prog-ramming prog-rams _coef_table-_header display-ing est-imation result-s
.o @_coef_table_header@

.e help _confirm_date
.c manual
.t Tool for confirming a date string is in a valid format
.k prog-ramming prog-rams confirm verify date-s format-s _confirm_date
.o @_confirm_date@

.e help _crcar1
.c manual
.t Programmer's utility for computing AR(1) rho from residuals
.k prog-ramming prog-rams ar(1) rho resid-uals time-series series
.k autocor-relation _crcar1 crcar1 autoregr-essive lag-s lead-s durbin watson
.o @_crcar1@

.e help _diparm
.c manual
.t Programmer's utility for displaying ancillary parameters
.k prog-ramming prog-rams display-ing param-eters ancil-lary _diparm diparm
.o @_diparm@

.e help _eqlist
.c manual
.t General purpose class for managing equation specifications
.k prog-ramming prog-rams pars-e pars-ing synt-ax
.k eq-uations var-iables list-s varlist-s _eqlist
.o @_eqlist@

.e help _fv_check_depvar
.c manual
.t Check for factor variables in list of dep. variables
.k prog-ramming prog-rams _fv_check_depvar
.k factor-s var-iables depend-ent i. c. b. o. # oper-ators
.o @_fv_check_depvar@

.e help _getcovcorr
.c manual
.t Programmer's utility parsing corr. & cov. matrix options
.k prog-ramming prog-rams _getcovcorr
.k opt-ions pars-e pars-ing corr-elations cov-ariances matr-ix matr-ices
.o @_getcovcorr@

.e help _getfilename
.c manual
.t Utility commands handling path-filename specifications
.k prog-ramming prog-rams file-names file-s dir-ectory path-s name-s
.k abbrev-iations abbrev-iate ext-ensions _getfilename _shortenpath
.o @_getfilename@

.e help _get_diopts
.c manual
.t Parsing tool for estimation commands
.k _get_diopts prog-ramming prog-rams pars-e pars-ing synt-ax
.k est-imation display opt-ions
.o @_get_diopts@

.e help _get_diparmopts
.c manual
.t Parsing and display utility
.k _get_diparmopts prog-ramming prog-rams opt-ions pars-e pars-ing synt-ax
.k display-ing param-eters ancil-lary _diparm diparm
.o @_get_diparmopts@

.e help _get_eformopts
.c manual
.t Parsing utility
.k prog-ramming prog-rams eform opt-ions pars-e pars-ing synt-ax
.k _get_eformopts or rrr irr hr
.o @_get_eformopts@

.e help _get_eqspec
.c manual
.t Parsing tool for generating scores
.k prog-ramming prog-rams pars-e pars-ing
.k _get_eqspec scor-es
.o @_get_eqspec@

.e help _get_gropts
.c manual
.t Parsing tool for graph commands
.k prog-ramming prog-rams graph-s graph-ics graph-ing opt-ions pars-e pars-ing
.k _get_gropts synt-ax
.o @_get_gropts@

.e help _get_offopt
.c manual
.t Parsing tool for getting offset option specification
.k prog-ramming prog-rams opt-ions pars-e pars-ing offset _get_offopt
.o @_get_offopt@

.e help _labels2names
.c manual
.t Using value labels as Stata names
.k prog-ramming prog-rams label-s name-s value-s _labels2names
.o @_labels2names@

.e help _matplot
.c manual
.t Scatterplot of matrix
.k graph-s graph-ics graph-ing plot-s matr-ices matr-ix scat-terplots _matplot
.o @_matplot@

.e help _mgarch_p_names
.c manual
.t Parse new variable lists for mgarch postestimation
.k prog-ramming prog-rams
.k _mgarch_p_names mgarch post-estimations var-iables value-s _stubstar2names
.o @_mgarch_p_names@

.e help _mkcross
.c manual
.t Cross variables with automatic short value labels
.k prog-ramming prog-rams
.k _mkcross cross var-iables label-s value-s
.o @_mkcross@

.e help _mkvec
.c manual
.t Programmer's util. for creating a vector from from(init_specs)
.k prog-ramming prog-rams vec-tors from() ml model max-imize creat-e creat-ing
.k _mkvec mkvec
.o @_mkvec@

.e help _ms_at_parse
.c manual
.t Parse at() specifications for postestimation commands
.k prog-ramming prog-rams
.k _ms_at_parse pars-e pars-ing at opt-ions
.o @_ms_at_parse@

.e help _ms_balance
.c manual
.t Adjust e(b) by balancing factor-variable covariates
.k prog-ramming prog-rams
.k _ms_balance e(b) factor-s var-iables bal-anced
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_balance@

.e help _ms_build_info
.c manual
.t Build extra factor-var. info. into column stripes
.k prog-ramming prog-rams factor-s var-iables
.k _ms_build_info empty cell-s
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_build_info@

.e help _ms_display
.c manual
.t Display a matrix stripe element for coefficient tables
.k prog-ramming prog-rams factor-s var-iables
.k _ms_display display-ing est-imation result-s
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_display@

.e help _ms_dydx_parse
.c manual
.t Parse dydx() spec. for postestimation commands
.k prog-ramming prog-rams factor-s var-iables
.k _ms_dydx_parse pars-e pars-ing dydx eydx dyex eyex opt-ions
.o @_ms_dydx_parse@

.e help _ms_element_info
.c manual
.t Matrix stripe element information
.k prog-ramming prog-rams factor-s var-iables
.k _ms_element_info e(b)
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_element_info@

.e help _ms_empty_info
.c manual
.t Matrix stripe info. on elements flagged as empty cells
.k prog-ramming prog-rams factor-s var-iables
.k _ms_empty_info empty cell-s
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_empty_info@

.e help _ms_eq_display
.c manual
.t Display a matrix stripe equation for coeff. tables
.k prog-ramming prog-rams factor-s var-iables
.k _ms_eq_display display-ing est-imation eq-uations
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_eq_display@

.e help _ms_eq_info
.c manual
.t Matrix stripe equation information
.k prog-ramming prog-rams factor-s var-iables
.k _ms_eq_info eq-uations e(b)
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_eq_info@

.e help _ms_findomitted
.c manual
.t Find and flag omitted matrix elements
.k prog-ramming prog-rams factor-s var-iables
.k _ms_findomitted find file-s findit search look-up up look-for for
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_findomitted@

.e help _ms_extract_varlist
.c manual
.t Match variables from e(b)
.k prog-ramming prog-rams factor-s var-iables
.k _ms_extract_varlist e(b) varlist-s
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_extract_varlist@

.e help _ms_omit_info
.c manual
.t Matrix stripe info. on elem. omitted because of coll.
.k prog-ramming prog-rams factor-s var-iables
.k _ms_omit_info collinear-ity omit-ted .o
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_omit_info@

.e help _ms_op_info
.c manual
.t Matrix stripe operator information
.k prog-ramming prog-rams factor-s var-iables i. c. b. o. #
.k _ms_op_info time-series series oper-ators l. f. d. s.
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_op_info@

.e help _ms_parse_parts
.c manual
.t Parse a single matrix stripe element
.k prog-ramming prog-rams factor-s var-iables
.k _ms_parse_parts pars-e pars-ing
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_parse_parts@

.e help _ms_split
.c manual
.t Matrix stripe splitting tools
.k prog-ramming prog-rams factor-s var-iables
.k _ms_split split
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s stripe-s
.o @_ms_split@

.e help _ms_unab
.c manual
.t Unabbreviate matrix stripe elements
.k prog-ramming prog-rams
.k _ms_unab stripe-s ele-ments
.k matr-ix matr-ices name-s row-s colu-mns rowname-s colname-s
.o @_ms_unab@

.e help _mtest
.c manual
.t Adjustment for multiple (simultaneous) testing
.k stat-istics prog-ramming prog-rams mult-iple compar-isons test-s test-ing
.k bonfer-ronis holm-s sidak-s _mtest
.o @_mtest@

.e help _natscale
.c manual
.t Obtain nice label or tick values
.k graph-s graph-ics graph-ing natural scale-s label-s tick-s value-s
.k prog-ramming prog-rams _natscale
.o @_natscale@

.e help _nobs
.c manual
.t Programmer's utility for counting the number of observations
.k prog-rams prog-ramming count-ing num-bers obs-ervations _nobs nobs
.o @_nobs@

.e help _on_colon_parse
.c manual
.t Splitting text on the colon character
.k prog-rams prog-ramming pars-e pars-ing colon-s : split _on_colon_parse
.o @_on_colon_parse@

.e help _parse
.c manual
.t Extended parsing
.k prog-rams prog-ramming pars-e pars-ing synt-ax _parse arg-uments opt-ions
.k graph-s graph-ics graph-ing
.o @_parse@

.e help _pb_exp_list
.c manual
.t Class for managing parenthesis-bound expression lists
.k prog-rams prog-ramming class
.k _pb_exp_list paren-thesis paren-theses pars-e pars-ing expr-essions
.k est-imation
.o @_pb_exp_list@

.e help _pred_se
.c manual
.t Subroutine for programming single-equation ext. to predict
.k prog-rams prog-ramming _pred_se pred-ictions single-equations eq-uations
.o @_pred_se@

.e help _prefix
.c manual
.t Overview of subroutines for parsing prefix commands
.k prog-rams prog-ramming pars-e pars-ing synt-ax : prefix command-s _prefix
.o @_prefix@

.e help _qsort_index
.c manual
.t Sort a list of words
.k prog-rams prog-ramming qsort sort order index indic-es _qsort_index
.o @_qsort_index@

.e help _recast
.c manual
.t Change storage type of variable
.k recast _recast
.k data-sets set-s manage-ment stor-age type-s var-iables change
.k byte-s int-s long-s float-s double-s str-ings
.o @_recast@

.e help _rename
.c manual
.t Rename variable
.k _rename rename name-s
.k data-sets set-s manage-ment var-iables change
.o @_rename@

.e help _restore_labels
.c manual
.t Restore value labels to variables
.k prog-rams prog-ramming value-s label-s _restore_labels
.o @_restore_labels@

.e help _rmcoll2list
.c manual
.t Check collinearity in union of two lists of variables
.k prog-ramming prog-rams
.k _rmcoll-2list collinear-ity multicol-linearity var-iables
.o @_rmcoll2list@

.e help _rmcollright
.c manual
.t Remove collinear variables from the right
.k _rmcoll-right collinear-ity var-iables remove
.k prog-ramming prog-rams multicol-linearity
.o @_rmcollright@

.e help _score_spec
.c manual
.t Parsing tool for generating scores
.k prog-ramming prog-rams pars-e pars-ing scor-es _score_spec
.o @_score_spec@

.e help _sep_varsylags
.c manual
.t Return the lag structure of varlist
.k prog-ramming prog-rams pars-e pars-ing lag-s _sep_varsylags
.o @_sep_varsylags@

.e help _strip_labels
.c manual
.t Remove value labels from variables
.k prog-rams prog-ramming value-s label-s _strip_labels
.o @_strip_labels@

.e help _stubstar2names
.c manual
.t Parsing new variable lists
.k prog-ramming prog-rams pars-e pars-ing _stubstar2names
.k var-iables list-s varlist-s * new
.o @_stubstar2names@

.e help _svy_mkdeff
.c manual
.t Calculation of design effects for survey data analysis
.k _svy_mkdeff deff deft prog-rams prog-ramming svy survey-s
.o @_svy_mkdeff@

.e help _svy_mkmeff
.c manual
.t Calc. misspecification effects for survey data analysis
.k _svy_mkmeff meff meft prog-rams prog-ramming svy survey-s
.o @_svy_mkmeff@

.e help _svy_setup
.c manual
.t Retrieve svy settings and adjust weights
.k svy survey-s _svy_setup weight-s set-s set-tings
.o @_svy_setup@

.e help _tab
.c manual
.t Generating simple tables
.k prog-ramming prog-rams tabl-es _tab
.o @_tab@

.e help _ts
.c manual
.t Programmer's command to verify that data are tsset properly
.k prog-ramming prog-rams _ts tsset
.k time-series series data
.o @_ts@

.e help _tsnatscale
.c manual
.t Obtain nice label or tick values for time series
.k graph-s graph-ics graph-ing natural scale-s label-s tick-s value-s
.k prog-ramming prog-rams _tsnatscale time-series series
.o @_tsnatscale@

.e help _vce_parse
.c manual
.t Parsing tool for the ^vce()^ option
.k prog-ramming prog-rams pars-e pars-ing vce opt-ions _vce_parse
.o @_vce_parse@

.e help _vce_parserun
.c manual
.t Parsing tool for the ^vce()^ option
.k prog-ramming prog-rams pars-e pars-ing vce opt-ions _vce_parserun
.o @_vce_parserun@

.e help _xt
.c manual
.t Programmer's command to verify that data are xtset properly
.k prog-ramming prog-rams _xt xtset
.k cross section-al time-series series panel-s data longi-tudinal xt
.o @_xt@

.e help _xtstrbal
.c manual
.t Prog. command to verify that data are strongly balanced
.k prog-ramming prog-rams _xtstrbal
.k cross section-al time-series series panel-s data longi-tudinal xt
.k bal-anced strong-ly
.o @_xtstrbal@

.e help anova_terms
.c manual
.t anova and manova terms -- programming command
.k anova manova anova_terms prog-rams prog-ramming anal-ysis of variance-s
.k multiv-ariate
.o @anova_terms@

.e help anovadef
.c manual
.t anova and manova term definition -- programming command
.k anova-def prog-rams prog-ramming anal-ysis of variance-s coef-ficients
.k manova multiv-ariate
.o @anovadef@

.e help bitowt
.c manual
.t Convert binary frequency records to frequency weighted data
.k bina-ry freq-uency record-s weight-ed data-sets set-s bitowt convert
.o @bitowt@

.e help brrstat
.c manual
.t Reporting results from balanced repeated replication (BRR)
.k prog-rams prog-ramming brrstat
.k brr bal-anced repeat-ed replic-ations
.o @brrstat@

.e help checkdlgfiles
.c manual
.t Dialog-file error checking
.k checkdlgfiles dlg .dlg dialog-s
.o @checkdlgfiles@

.e help checkhlpfiles
.c manual
.t Help-file error checking
.k checkhlpfiles hlp .hlp
.o @checkhlpfiles@

.e help cscript
.c manual
.t Begin certification script
.k prog-rams prog-ramming cert-ify cert-ification script-s cscript
.k test-s test-ing ado-files file-s .ado command-s which assert-ions
.o @cscript@

.e help cscript_log
.c manual
.t Begin certification script log
.k prog-rams prog-ramming cert-ify cert-ification script-s cscript log-s
.k cscript_log
.o @cscript_log@

.e help copysource
.c manual
.t Copy source code to current directory
.k prog-ramming prog-rams copysource
.k code-s ado-files file-s .ado source copy-ing
.o @copysource@

.e help di_g
.c manual
.t Display debug message
.k prog-rams prog-ramming graph-s graph-ics graph-ing debug-ging display di_g
.o @di_g@

.e help dialog_undocumented
.c manual
.t Dialog programming
.k prog-rams prog-ramming dialog_undocumented undocumented
.k dial-ogs dial-ogues box-es .dlg dlg member-s func-tions _dialog
.k .submit .getsubmit .ok .reset .cancel .execute .savestate
.k .setactive svector
.o @dialog_undocumented@

.e help dirstats
.c manual
.t Directory statistics
.k sysdir system dir-ectories dir-ectory dirstats
.o @dirstats@

.e help doppelganger
.c manual
.t Ghostly library double of built-in Mata function
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k doppelganger libr-ary libr-aries
.o @doppelganger@

.e help dta_equal
.c manual
.t Assert datasets equal
.k dta_equal assert util-ity verify sav-ed data-sets set-s manage-ment
.k dta .dta equal-ity compar-e two compar-isons
.o @dta_equal@

.e help find_hlp_file
.c manual
.t Find help file
.k hlp .hlp find _findhlpalias find_hlp_file
.o @find_hlp_file@

.e help forthcoming
.c manual
.t Manual entries are forthcoming
.k command-s undocumented forthcoming prog-rams prog-ramming
.o @forthcoming@

.e help graph7
.c manual
.t The old graph command
.k graph-s graph-ics graph-ing old graph7 gr7
.o @graph7@

.e help gs_fileinfo
.c manual
.t Subroutine to obtain information about .gph file
.k graph-s graph-ics graph-ing gph .gph file-s prog-rams prog-ramming
.k asis live old gs_fileinfo
.o @gs_fileinfo@

.e help gs_filetype
.c manual
.t Subroutine to determine type of .gph file
.k graph-s graph-ics graph-ing gph .gph file-s prog-rams prog-ramming
.k asis live old gs_filetype
.o @gs_filetype@

.e help gs_graphinfo
.c manual
.t Subroutine to obtain information about memory graph
.k graph-s graph-ics graph-ing prog-rams prog-ramming gs_graphinfo live
.o @gs_graphinfo@

.e help gs_stat
.c manual
.t Subroutine to verify (non)existence of graph
.k graph-s graph-ics graph-ing prog-rams prog-ramming confirm exist-ence
.k gs_stat
.o @gs_stat@

.e help hadimvo
.c manual
.t Identify multivariate outliers
.k hadimvo stat-istics multiv-ariate outlier-s
.o @hadimvo@

.e help inten
.c manual
.t Base conversion
.k inbase inten base ten 10 util-ity hex-adecimal decim-al
.o @inten@

.e help is_svy
.c manual
.t Determine if last est. command belongs to svy class
.k prog-rams prog-ramming is_svy svy survey-s
.o @is_svy@

.e help jkstat
.c manual
.t Reporting jackknife results
.k prog-rams prog-ramming jack-knifed jack-nifed jkstat
.o @jkstat@

.e help keyfiles
.c manual
.t Key files used by the search command
.k key-s file-s search util-ity keyword-s .key
.k keyfiles
.o @keyfiles@

.e help labelstyle
.c manual
.t Choices for overall look of marker labels
.k graph-s graph-ics graph-ing style-s mark-ers mark-s label-s
.k labelstyle
.o @labelstyle@

.e help limits
.c manual
.t Maximum size limits
.k limit-s data-sets set-s manage-ment stat-istics graph-s graph-ics graph-ing
.k small stata interco-oled
.o @limits@

.e help lrecomp
.c manual
.t Display log relative errors
.k lrecomp compar-e comparison-s log relativ-e err-ors lre-s accur-acy util-ity
.o @lrecomp@

.e help margins, saving()
.c manual
.t Saving margins results to a dataset
.k matr-ix matr-ices sav-ed sav-ing result-sdata-sets set-s margin-s
.o @margins saving@

.e help manuals
.c manual
.t Cross-referencing the documentation
.k refer-ence cross-reference source manual-s docu-mentation stata sj-s tsj-s
.k stb-s stata tech-nical bulle-tin journal-s
.o @manuals@

.e help mat_capp
.c manual
.t Operators on matrices by names rather than positions
.k matr-ix matr-ices prog-rams prog-ramming oper-ators name-s row-s colu-mns
.k rowname-s colname-s order reorder mat_capp mat_rapp mat_order stripe-s
.o @mat_capp@

.e help mata arfimaacf()
.c manual
.t Autocovariance functions
.k mata matr-ix matr-ices func-tions
.k arfimaacf armaacf autocov-ariance
.o @mata arfimaacf@

.e help mata arfimapsdensity()
.c manual
.t Parametric spectral density functions
.k mata matr-ix matr-ices func-tions
.k arfimapsdensity armapsdensity param-etric spectr-al dens-ity
.o @mata arfimapsdensity@

.e help mata _lsfitqr()
.c manual
.t Least-squares regression using QR decomposition
.k mata matr-ix matr-ices func-tions
.k _lsfitqr least sq-uares reg-ressions qr decomp-osition
.o @mata _lsfitqr@

.e help mata _parse_colon()
.c manual
.t Parse utility for Stata prefix commands
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k _parse_colon pars-e pars-ing colon-s : split
.o @mata _parse_colon()@

.e help mata regexm()
.c manual
.t Regular expression match
.k mata matr-ix matr-ices func-tions
.k regexm regexr regexs expr-essions match
.o @mata regexm@

.e help mata robust()
.c manual
.t Robust variance estimates
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k robust _robust variance-s
.k stat-istics clus-ters clus-tering clus-tered samp-les samp-ling
.k strat-ified strat-a strat-um
.k robust_init robust_init_touse robust_init_subpop robust_init_scores
.k robust_init_covmat robust_init_eq_n robust_init_eq_indepvar-s
.k robust_init_eq_cons robust_init_eq_con-s robust_init_minus
.k robust_init_svyset robust_init_nstages robust_init_stage_unit-s
.k robust_init_stage_strata robust_init_stage_fpc robust_init_weight-type
.k robust_init_poststrata robust_init_singleunit robust_init_v_srs
.k robust_init_verbose robust_result_v robust_result_v_srs-sub
.k robust_result_v_srswr-sub robust_result_stage_strata
.k robust_result_stage_certain robust_result_stage_single
.k robust_result_postsize robust_result_postsum robust_result_n-_sub
.k robust_result_sum_w-sub robust_result_n_clust robust_result_n_strata-_omit
.k robust_result_census robust_result_singleton robust_result_errorcode
.k robust_result_errortext robust_result_returncode robust_query
.o @mata robust()@

.e help mata SPMATbanded*()
.c manual
.t Banded matrix operators
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions band-s banded oper-ators
.k spmatbanded spmatbandedmake spmatbandedunmake _spmatbandedtranspose
.k spmatbandedplus spmatbandedminus spmatbandedtrace spmatbandedtracemult
.k spmatbandedcross spmatbandedmult spmatbandedmultfull
.o @mata SPMATbanded()@

.e help mata st_fopen()
.c manual
.t Open file the Stata way
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k open file-s st_fopen fopen _fopen
.o @mata st_fopen()@

.e help mata st_freadsignature()
.c manual
.t Read/write standard Stata file signature
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k st_freadsig-nature st_fwritesig-nature
.k _st_freadsignature _st_fwritesignature
.k read-ing writ-e writ-ing signature-s
.o @mata st_freadsignature()@

.e help mata st_lchar()
.c manual
.t Obtain/set "long" characteristics
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k st_lchar ado_intolchar ado_fromlchar char charac-teristics
.o @mata st_lchar()@

.e help mata st_matrix_list()
.c manual
.t Listing a Stata matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k st_matrix_list format-s format-ting format-ted list-s display
.o @mata st_matrix_list()@

.e help mata st_ms_utils()
.c manual
.t Matrix stripe utilities
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k st_ms_utils st_matrixrowstripe_split st_matrixcolstripe_split
.k st_matrixrowstripe_fvinfo st_matrixcolstripe_fvinfo
.k name-s row-s colu-mns rowname-s colname-s stripe-s
.k factor-s var-iables i. c. b. o. # oper-ators split
.o @mata st_ms_utils()@

.e help mata timer()
.c manual
.t Profile code
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k elapse timing time-r timer_clear timer_on timer_off timer_value
.o @mata timer()@

.e help mata trace_ABBAV()
.c manual
.t Obtain trace of a special-purpose matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k trace diag-onals trace_abbav
.o @mata trace_ABBAV()@

.e help mata trace_AVBV()
.c manual
.t Obtain trace of a special-purpose matrix
.k mata matr-ix matr-ices
.k prog-ramming prog-rams func-tions
.k trace diag-onals trace_avbv
.o @mata trace_AVBV()@

.e help mata toeplitzsolve()
.c manual
.t Solve linear systems using Toeplitz matrix
.k mata matr-ix matr-ices func-tions
.k toeplitzsolve toeplitzscale _toeplitzscale toeplitzchprod
.k linear system-s toep-litz
.o @mata toeplitzsolve@

.e help mata ucmpsdensity()
.c manual
.t Parametric spectral density
.k mata matr-ix matr-ices func-tions
.k ucmpsdensity param-etric spectr-al dens-ity time-series series stochastic
.k cycle
.o @mata ucmpsdensity@

.e help matalabel
.c manual
.t Create column vectors in Mata containing value labels
.k mata matr-ix matr-ices prog-ramming prog-rams value-s label-s matalabel
.o @matalabel@

.e help minbound
.c manual
.t Minimize a scalar function on a range
.k prog-rams prog-ramming minbound
.k min-imization min-imize range-s scal-ars func-tions
.o @minbound@

.e help mkassert
.c manual
.t Generate asserts for Stata objects
.k prog-rams prog-ramming assert cert-ify cert-ification script-s
.k mkassert
.o @mkassert@

.e help ml hold
.c manual
.t Using ml recursively
.k prog-ramming prog-rams
.k ml hold unhold recurs-ively
.o @ml hold@

.e help mlopts
.c manual
.t Parsing tool for ml commands
.k prog-ramming prog-rams pars-e pars-ing
.k mlopts ml max-imize opt-ions
.o @mlopts@

.e help notes_
.c manual
.t Programmer's commands for use with ^notes^
.k prog-rams prog-ramming note-s notes_ _dir _count _fetch dir count fetch
.o @notes_@

.e help opts_exclusive
.c manual
.t Programmer's utility for mutually exclusive options
.k prog-rams prog-ramming opt-ions opts_exclusive
.o @opts_exclusive@

.e help parse_dissim
.c manual
.t Parse similarity and dissimilarity measures
.k prog-ramming prog-rams pars-e pars-ing parse_dissim
.k similar-ity similar-ities dissimilar-ity dissimilar-ities meas-ures
.o @parse_dissim@

.e help plot
.c manual
.t Draw scatterplot using typewriter characters
.k scat-terplots stat-istics plot-s graph-s graph-ics graph-ing
.o @plot@

.e help postrtoe
.c manual
.t Post results saved in r() as e()
.k postrtoe post return result-s r e sav-ed sav-ing e-class e() r() r-class
.o @postrtoe@

.e help prdocumented
.c manual
.t Previously documented commands
.k command-s undocumented prev-iously docu-mentation docu-mented
.o @prdocumented@

.e help profiler
.c manual
.t Profile Stata programs reporting time spent in each program
.k prog-rams prog-ramming profiler elapse timing time
.o @profiler@

.e help rcof
.c manual
.t Verify return code
.k return code-s verify prog-rams prog-ramming cert-ify cert-ification script-s
.k test-s test-ing ado-files file-s command-s rcof err-ors confirm assert-ions
.o @rcof@

.e help savedresults
.c manual
.t Manipulate and verify saved results r() and e()
.k savedresults prog-rams prog-ramming sav-ed result-s e-class r-class class
.k e() r() compar-e compar-isons cert-ify cert-ification script-s tol-erances
.o @savedresults@

.e help scheme_files
.c manual
.t Description of scheme file format
.k graph-s graph-ics graph-ing scheme-s file-s .scheme composite
.k prog-rams prog-ramming
.k scheme_files
.o @scheme_files@

.e help set sortseed
.c manual
.t Set default seed for randomly breaking ties in sorts
.k seed set-s sort data-sets manage-ment sortseed
.o @sortseed@

.e help sunflowerstyle
.c manual
.t Choices for overall look of plot
.k graph-s graph-ics graph-ing style-s sun flower-s sun-flowers plot-s
.k sunflowerstyle dens-ity distrib-utions
.o @sunflowerstyle@

.e help svygen
.c manual
.t Generating adjusted sampling weights
.k prog-rams prog-ramming svy survey-s svygen
.k gen-erate adjust-ed samp-ling weight-s
.o @svygen@

.e help svyopts
.c manual
.t Parsing tool for survey commands
.k prog-rams prog-ramming svy survey-s svyopts pars-e pars-ing opt-ions ml
.o @svyopts@

.e help sysdescribe
.c manual
.t Describe shipped dataset
.k sysdescribe describ-e data-sets set-s manage-ment
.o @sysdescribe@

.e help twoway sunflower
.c manual
.t Density-distribution sunflower plots
.k graph-s graph-ics graph-ing sun flower-s sun-flowers plot-s two-way way
.o @twoway sunflower@

.e help twoway__function_gen
.c manual
.t twoway function subroutine
.k prog-rams prog-ramming pars-e pars-ing graph-s graph-ics graph-ing
.k two-way way gen-erate var-iables func-tions twoway__function_gen
.o @twoway__function_gen@

.e help twoway__histogram_gen
.c manual
.t Histogram subroutine
.k prog-rams prog-ramming pars-e pars-ing graph-s graph-ics graph-ing
.k two-way way gen-erate var-iables hist-ograms twoway__histogram_gen
.o @twoway__histogram_gen@

.e help twoway__kdensity_gen
.c manual
.t twoway function subroutine
.k prog-rams prog-ramming pars-e pars-ing graph-s graph-ics graph-ing kdensity
.k two-way way gen-erate var-iables kern-el dens-ity twoway__kdensity_gen
.o @twoway__kdensity_gen@

.e help undocumented
.c manual
.t Undocumented commands
.k command-s undocu-mented prog-rams prog-ramming docu-mentation docu-mented
.o @undocumented@

.e help webdescribe
.c manual
.t Describe data over the web
.k data-sets set-s manage-ment describ-e .dta dta file-s webdescribe
.k web-sites site-s www internet
.o @webdescribe@

.e out-of-date
.c manual
.t ^adjust^
.k adjust
.o @adjust@; help @margins@ for replacement

.e out-of-date ^ ^.^ ^. ^version 10: anova^
.c manual
.t ^anova^ syntax prior to version 11
.k anova
.o @anova_10@; help @anova@ for replacement

.e out-of-date
.c manual
.t ^archlm^
.k archlm
.o @regress postestimationts@ for replacement -- ^estat archlm^

.e out-of-date
.c manual
.t ^bgodfrey^
.k bgodfrey
.o @regress postestimationts@ for replacement -- ^estat bgodfrey^

.e out-of-date
.c manual
.t ^boot^, ^bootsamp^, ^bstrap^
.k bootsamp boot bstrap
.o @bootstrap@ for replacement -- ^bootstrap^ and ^bsample^

.e out-of-date
.c manual
.t ^chdir^
.k chdir
.o @cd@ for replacement

.e out-of-date
.c manual
.t ^clogitp^
.k clogitp
.o @clogit@ for replacement -- ^predict^ after ^clogit^

.e out-of-date
.c manual
.t ^cnreg^
.k cnreg
.o @cnreg@; help @intreg@ for replacement

.e out-of-date
.c manual
.t ^cnreg^ postestimation
.k cnreg post-estimations
.o @cnreg postestimation@; help @intreg postestimation@ for replacement

.e out-of-date
.c manual
.t ^cox^
.k cox
.o @stcox@ for replacement

.e out-of-date
.c manual
.t ^coxbase^, ^coxhaz^, and ^coxvar^
.k coxbase coxhaz coxvar
.o @stcox@ and help @st@ for replacements

.e out-of-date
.c manual
.t ^datetof^, ^etodow^, ^etof^, ^etomdy^, ^ftodate^, ^ftoe^
.k datetof etodow etof etomdy ftodate ftoe
.o @datetime@ for replacement

.e out-of-date
.c manual
.t ^dbeta^
.k dbeta
.o @dfbeta@ for replacement

.e out-of-date
.c manual
.t ^deff^
.k deff
.o @svy@ for replacement

.e out-of-date
.c manual
.t ^disp_res^ and ^disp_s^
.k disp_res disp_s
.o @disp_res@; help @return@ for replacement

.e out-of-date
.c manual
.t ^dprobit^
.k dprobit
.o @dprobit@; help @probit@ and @margins@ for replacements

.e out-of-date
.c manual
.t ^dprobit^ postestimation
.k dprobit post-estimations
.o @dprobit postestimation@

.e out-of-date
.c manual
.t ^durbina^
.k durbina
.o @regress postestimationts@ for replacement -- ^estat durbinalt^

.e out-of-date
.c manual
.t ^dvech^
.k dvech
.o @dvech@; help @mgarch dvech@ for replacement

.e out-of-date
.c manual
.t ^dvech postestimation^
.k dvech post-estimations
.x
	(help @dvech postestimation@; help @mgarch dvech postestimation@
	for replacement)

.e out-of-date
.c manual
.t ^dwstat^
.k dwstat
.o @regress postestimationts@ for replacement -- ^estat dwatson^

.e out-of-date
.c manual
.t ^eq^
.k eq
.o @eq@ for explanation

.e out-of-date
.c manual
.t ^ereg^, ^ereghet^
.k ereg ereghet
.o @streg@ for replacement

.e out-of-date
.c manual
.t ^fdasave^, ^fdause^, ^fdadescribe^
.k fdasave fdause fdadescribe^
.o @fdasave@; help @import sasxport@ for replacement

.e out-of-date
.c manual
.t ^fit^
.k fit
.o @regress@ and @regdiag@ for replacements

.e out-of-date
.c manual
.t ^for^
.k for
.o @foreach@ and @forvalues@ for replacements

.e out-of-date
.c manual
.t ^fpredict^
.k fpredict
.o @regress@ for replacement -- ^predict^ after ^regress^

.e out-of-date
.c manual
.t ^fsl^
.k fsl
.o @translatetext@ for replacement

.e out-of-date
.c manual
.t ^ftomdy^, ^ftowdate^, ^mdytoe^, ^mdytof^, ^wdatetof^
.k ftomdy ftowdate mdytoe mdytof wdatetof
.o @datetime@ for replacement

.e out-of-date
.c manual
.t ^gamma^, ^gammahet^
.k gamma gammahet
.o @streg@ for replacement

.e out-of-date
.c manual
.t ^genrank^, ^genstd^, and ^genvmean^
.k genrank genstd genvmean
.o @egen@ for replacement

.e out-of-date
.c manual
.t ^glmpred^
.k glmpred
.o @glm@ for replacement -- ^predict^ after ^glm^

.e out-of-date
.c manual
.t ^gompertz^, ^gompertzhet^
.k gompertz gompertzhet
.o @streg@ for replacement

.e out-of-date
.c manual
.t ^gphdot^, ^gphpen^, ^gphprint^
.k gphdot gphpen gphprint
.o @translatetext@ for replacement

.e out-of-date
.c manual
.t ^grebar^
.k grebar
.o @graph@ and help @serrbar@ for replacements

.e out-of-date
.c manual
.t ^hettest^
.k hettest
.o @regress postestimation@ for replacement -- ^estat hettest^

.e out-of-date
.c manual
.t ^hilite^
.k hilite
.o @graph@ for replacement

.e out-of-date
.c manual
.t ^hlu^ and ^corc^
.k hlu corc
.o @prais@ for replacement

.e out-of-date
.c manual
.t ^huber^, ^hreg^, ^hareg^, ^hlogit^, ^hprobit^, ^hereg^
.k _huber huber hreg hareg hlogit hprobit hereg
.o @huber@ for explanation

.e out-of-date
.c manual
.t ^iis^, ^tis^
.k iis tis
.o @xtset@ for replacement

.e out-of-date
.c manual
.t ^impute^
.k impute
.o @impute@; help @mi impute@ for replacement

.e out-of-date
.c manual
.t ^imtest^
.k imtest
.o @regress postestimation@ for replacement -- ^estat imtest^

.e out-of-date
.c manual
.t ^ksm^
.k ksm
.o @lowess@ for replacement

.e out-of-date
.c manual
.t ^levels^
.k levels
.o @levelsof@ for replacement

.e out-of-date
.c manual
.t ^leverage^
.k leverage
.o @regdiag@ for replacement

.e out-of-date
.c manual
.t ^lfit^
.k lfit
.o @logistic postestimation@ for replacement -- ^estat gof^

.e out-of-date
.c manual
.t ^llogist^, ^llogistic^, ^llogistichet^
.k llogistic llogistichet
.o @streg@ for replacement

.e out-of-date
.c manual
.t ^lnormal^, ^lnormalhet^
.k lnormal lnormalhet
.o @streg@ for replacement

.e out-of-date
.c manual
.t ^lookup^
.k lookup
.o @search@ for replacement

.e out-of-date
.c manual
.t ^lpredict^
.k lpredict
.o @logistic@ for replacement -- ^predict^ after ^logistic^

.e out-of-date
.c manual
.t ^lstat^
.k lstat
.o @logistic postestimation@ for replacement -- ^estat classification^

.e out-of-date ^ ^.^ ^. ^version 10: manova^
.c manual
.t ^manova^ syntax prior to version 11
.k manova
.o @manova_10@; help @manova@ for replacement

.e out-of-date
.c manual
.t ^mata uniform()^
.k mata uniform
.o @mata runiform()@ for replacement

.e out-of-date
.c manual
.t ^mata uniformseed()^
.k mata uniformseed
.o @mata rseed()@ for replacement

.e out-of-date
.c manual
.t ^matrix makeCns^ and ^matrix dispCns^
.k matr-ix makeCns dispCns
.o @matrix makeCns@; help @makecns@ for replacement

.e out-of-date ^ ^.^ ^. ^version 10: merge^
.c manual
.t ^merge^ syntax prior to version 11
.k merge
.o @merge_10@; help @merge@ for replacement

.e out-of-date
.c manual
.t ^mfx^
.k mfx
.o @mfx@; help @margins@ for replacement

.e out-of-date
.c manual
.t ^modify^
.k modify
.o @edit@ or @replace@ for replacements

.e out-of-date
.c manual
.t ^nlinit^
.k nlinit
.o @nl@ for modern way of providing initial values with ^nl^

.e out-of-date
.c manual
.t ^nlpred^
.k nlpred
.o @nl@ for replacement -- ^predict^ after ^nl^

.e out-of-date
.c manual
.t ^ologitp^
.k ologitp
.o @ologit@ for replacement -- ^predict^ after ^ologit^

.e out-of-date
.c manual
.t ^oprobitp^
.k oprobitp
.o @oprobit@ for replacement -- ^predict^ after ^oprobit^

.e out-of-date
.c manual
.t ^ovtest^
.k ovtest
.o @regress postestimation@ for replacement -- ^estat ovtest^

.e out-of-date
.c manual
.t ^parse^
.k parse
.o @parse@; help @syntax@, @args@, @tokenize@, @gettoken@ for replacements

.e out-of-date
.c manual
.t ^pd^
.k pd
.o @pd@ for explanation

.e out-of-date
.c manual
.t ^poisgof^
.k poisgof
.o @poisson postestimation@ for replacement -- ^estat gof^

.e out-of-date
.c manual
.t ^regdw^
.k regdw
.o @dwstat@ for replacement

.e out-of-date
.c manual
.t ^remap^
.k remap
.o @recode@ for replacement

.e out-of-date
.c manual
.t ^renpfix^
.k renpfix
.o @renpfix@; help @rename group@ for replacement

.e out-of-date
.c manual
.t ^repeat^
.k repeat
.o @foreach@ for replacement

.e out-of-date
.c manual
.t ^simul^
.k simul
.o @simulate@ for replacement

.e out-of-date
.c manual
.t ^spikeplt^
.k spikeplt
.o @spikeplot@ for replacement

.e out-of-date
.c manual
.t ^stcurv^
.k stcurv
.o @stcurve@ for replacement

.e out-of-date
.c manual
.t ^swcnreg^, ^swcox^, ^swereg^, ^swlogis^, ^swlogit^, ^swologit^
.k stepwise swcnreg swcox swereg swlogis swlogit swologit
.o @stepwise@ for replacement

.e out-of-date
.c manual
.t ^stereg^ and ^stweib^
.k stereg stweib
.o @streg@ for replacement

.e out-of-date
.c manual
.t ^stphtest^
.k stphtest
.o @stcox postestimation@ for replacement -- ^estat phtest^

.e out-of-date
.c manual
.t ^survival^, ^kapmeier^, ^gwood^, ^loglogs^
.k survival kapmeier gwood loglogs
.o @st@ for replacement

.e out-of-date
.c manual
.t ^survsum^, ^survcurv^, ^logrank^, ^mantel^, ^wilcoxon^
.k survsum survcurv logrank mantel wilcoxon
.o @st@ for replacement

.e out-of-date
.c manual
.t ^svyintrg^
.k svyintrg
.o @svyintreg@ for replacement

.e out-of-date
.c manual
.t ^svylc^
.k svylc
.o @lincom@ for replacement

.e out-of-date
.c manual
.t ^svymlog^
.k svymlog
.o @svymlogit@ for replacement

.e out-of-date
.c manual
.t ^svyolog^
.k svyolog
.o @svyologit@ for replacement

.e out-of-date
.c manual
.t ^svyoprob^
.k svyoprob
.o @svyoprobit@ for replacement

.e out-of-date
.c manual
.t ^svypois^
.k svypois
.o @svypoisson@ for replacement

.e out-of-date
.c manual
.t ^svyprobt^
.k svyprobt
.o @svyprobit@ for replacement

.e out-of-date
.c manual
.t ^svyreg^
.k svyreg
.o @svyregress@ for replacement

.e out-of-date
.c manual
.t ^svytest^
.k svytest
.o @test@ for replacement

.e out-of-date
.c manual
.t ^swoprbt^, ^swpois^, ^swprobit^, ^swqreg^, ^swtobit^, ^swweib^
.k swoprbt swpois swprobit swqreg swtobit swweib
.o @stepwise@ for replacement

.e out-of-date
.c manual
.t ^szroeter^
.k szroeter
.o @regress postestimation@ for replacement -- ^estat szroeter^

.e out-of-date
.c manual
.t ^teststd^
.k teststd
.o @sdtest@ for replacement

.e out-of-date
.c manual
.t ^trim^
.k trim
.o @functions@ for ^trim()^ function

.e out-of-date
.c manual
.t ^tutorial^
.k tutorial
.o @tutorial@ for explanation

.e out-of-date
.c manual
.t ^unabbrev^
.k unabbrev
.o @unab@ for replacement

.e out-of-date
.c manual
.t ^uniform()^
.k uniform
.o @runiform()@ for replacement

.e out-of-date
.c manual
.t ^varfcast^
.k varfcast
.o @fcast@ for replacement

.e out-of-date
.c manual
.t ^varirf^
.k varirf
.o @irf@ for replacement

.e out-of-date
.c manual
.t ^vce^
.k vce
.o @vce@; help @estat vce@ for replacement

.e out-of-date
.c manual
.t ^vif^
.k vif
.o @regress postestimation@ for replacement -- ^estat vif^

.e out-of-date
.c manual
.t ^webseek^
.k webseek
.o @net@ for replacement

.e out-of-date
.c manual
.t ^weibull^, ^weibullhet^
.k weibull weibullhet
.o @streg@ for replacement

.e out-of-date
.c manual
.t ^xtclog^
.k xtclog
.o @xtcloglog@ for replacement

.e out-of-date
.c manual
.t ^xtcorr^
.k xtcorr
.o @xtgee postestimation@ for replacement -- ^estat wcorrelation^

.e out-of-date
.c manual
.t ^xthaus^, ^xthausman^
.k xthaus xthausman
.o @hausman@ for replacement

.e out-of-date
.c manual
.t ^xtpois^
.k xtpois
.o @xtpoisson@ for replacement

.e out-of-date
.c manual
.t ^xtpred^
.k xtpred
.o @xtreg@ for replacement -- ^predict^ after ^xtreg^

.e out-of-date
.c manual
.t ^xtrchh^
.k xtrchh
.o @xtrc@ for replacement

.e out-of-date
.c manual
.t ^ztp^
.k ztp
.o @ztp@; help @tpoisson@ for replacement

.e out-of-date
.c manual
.t ^ztp postestimation^
.k ztp post-estimations
.o @ztp postestimation@; help @tpoisson postestimation@ for replacement

.e out-of-date
.c manual
.t ^ztnb^
.k ztnb
.o @ztnb@; help @tnbreg@ for replacement

.e out-of-date
.c manual
.t ^ztnb postestimation^
.k ztnb post-estimations
.o @ztnb postestimation@; help @tnbreg postestimation@ for replacement
