Stata Quick Reference and Index

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Title estimation commands — Quick reference for estimation commands Description This entry provides a quick reference for Stata’s estimation commands. Because enhancements to Stata are continually being made, type search estimation commands for possible additions to this list; see [R] search. For a discussion of properties shared by all estimation commands, see [U] 20 Estimation and postestimation commands. For a list of prefix commands that can be used with many of these estimation commands, see [U] 11.1.10 Prefix commands. Command Description See anova Analysis of variance and covariance [R] anova arch ARCH family of estimators [TS] arch areg Linear regression with a large dummy-variable set [R] areg arima ARIMA, ARMAX, and other dynamic regression [TS] arima models asclogit Alternative-specific conditional logit (McFadden’s [R] asclogit choice) model asmprobit Alternative-specific multinomial probit regression [R] asmprobit asroprobit Alternative-specific rank-ordered probit regression [R] asroprobit binreg Generalized linear models: Extensions to the [R] binreg binomial family biprobit Bivariate probit regression [R] biprobit blogit Logistic regression for grouped data [R] glogit boxcox Box–Cox regression models [R] boxcox bprobit Probit regression for grouped data [R] glogit bsqreg Quantile regression with bootstrap standard errors [R] qreg ca Simple correspondence analysis [MV] ca camat Simple correspondence analysis of a matrix [MV] ca candisc Canonical linear discriminant analysis [MV] candisc canon Canonical correlations [MV] canon clogit Conditional (fixed-effects) logistic regression [R] clogit cloglog Complementary log-log regression [R] cloglog cnsreg Constrained linear regression [R] cnsreg dfactor Dynamic-factor models [TS] dfactor discrim knn kth-nearest-neighbor discriminant analysis [MV] discrim knn discrim lda Linear discriminant analysis [MV] discrim lda discrim logistic Logistic discriminant analysis [MV] discrim logistic discrim qda Quadratic discriminant analysis [MV] discrim qda dvech Diagonal vech GARCH models [TS] dvech 28
estimation commands — Quick reference for estimation commands 29 Command Description See eivreg Errors-in-variables regression [R] eivreg exlogistic Exact logistic regression [R] exlogistic expoisson Exact Poisson regression [R] exlogistic factor Factor analysis [MV] factor factormat Factor analysis of a correlation matrix [MV] factor frontier Stochastic frontier models [R] frontier glm Generalized linear models [R] glm glogit Weighted least-squares logistic regression for grouped data [R] glogit gmm Generalized method of moments estimation [R] gmm gnbreg Generalized negative binomial model [R] nbreg gprobit Weighted least-squares probit regression for grouped data [R] glogit heckman Heckman selection model [R] heckman heckprob Probit model with selection [R] heckprob hetprob Heteroskedastic probit model [R] hetprob intreg Interval regression [R] intreg iqreg Interquantile range regression [R] qreg ivprobit Probit model with endogenous regressors [R] ivprobit ivregress Single-equation instrumental-variables estimation [R] ivregress ivtobit Tobit model with endogenous regressors [R] ivtobit logistic Logistic regression, reporting odds ratios [R] logistic logit Logistic regression, reporting coefficients [R] logit manova Multivariate analysis of variance and covariance [MV] manova mca Multiple and joint correspondence analysis [MV] mca mds Multidimensional scaling for two-way data [MV] mds mdslong Multidimensional scaling of proximity data in long format [MV] mdslong mdsmat Multidimensional scaling of proximity data in a matrix [MV] mdsmat mean Estimate means [R] mean mlogit Multinomial (polytomous) logistic regression [R] mlogit mprobit Multinomial probit regression [R] mprobit mvreg Multivariate regression [R] mvreg nbreg Negative binomial regression [R] nbreg newey Regression with Newey–West standard errors [TS] newey nl Nonlinear least-squares estimation [R] nl nlogit Nested logit regression (RUM-consistent and nonnormalized) [R] nlogit nlsur Systems of nonlinear equations [R] nlsur ologit Ordered logistic regression [R] ologit oprobit Ordered probit regression [R] oprobit pca Principal component analysis [MV] pca pcamat Principal component analysis of a correlation or covariance [MV] pca matrix
Page 1 and 2: STATA QUICK REFERENCE AND INDEX REL
Page 3: i Table of contents Combined subjec
Page 6 and 7: 2 Inputting and saving data [GS] Ch
Page 8 and 9: 4 [D] changeeol . . . . . . . . . .
Page 10 and 11: 6 [R] estimates title . . . . . . .
Page 12 and 13: 8 [G] graph twoway lowess . . . . .
Page 14 and 15: 10 Graph schemes [G] schemes intro
Page 16 and 17: 12 [MV] clustermat . . . . . . . .
Page 18 and 19: 14 [MV] scoreplot . . . . . . . . .
Page 20 and 21: 16 [R] mprobit . . . . . . . . . .
Page 22 and 23: 18 Nonparametric statistics [R] kde
Page 24 and 25: 20 [R] predict . . . . . . . . . .
Page 26 and 27: 22 [TS] tsreport . . . . . . . . .
Page 28 and 29: 24 [P] fvexpand . . . . . . . . . .
Page 30 and 31: 26 Mata [M] Mata Reference Manual .
Page 34 and 35: 30 estimation commands — Quick re
Page 40 and 41: Title format — Quick reference fo
Page 42 and 43: Title missing values — Quick refe
Page 44 and 45: 40 postestimation commands — Quic
Page 52 and 53: Title prefix commands — Quick ref
Page 54 and 55: Title reading data — Quick refere
Page 57 and 58: Title Acronym glossary 2SIV 2SLS 3S
Page 59 and 60: Acronym glossary 55 IC ICD-9 IIA i.
Page 61 and 62: Acronym glossary 57 QDA QML rc RCT
Page 63 and 64: Vignettes index 59 Vignettes index
Page 65 and 66: Author index 61 Author index A Aale
Page 67 and 68: Author index 63 Blackburne III, E.
Page 69 and 70: Author index 65 Conover, W. J., [R]
Page 71 and 72: Author index 67 Feinleib, M., [XT]
Page 73 and 74: Author index 69 Green, P. E., [MV]
Page 75 and 76: Author index 71 Hipel, K. W., [TS]
Page 77 and 78: Author index 73 Klein, J. P., [ST]
Page 79 and 80: Author index 75 Lu, J. Y., [TS] pra
Page 81 and 82: Author index 77 Muirhead, R. J., [M
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Author index 79 Ponce de Leon, A.,
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Author index 81 Schonlau, M., [R] g
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Author index 83 ter Bogt, T., [MV]
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Author index 85 Wichern, D. W., con
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Subject index 87 Subject index ! (n
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Subject index 89 args command, [P]
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Subject index 91 bias corrected and
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Subject index 93 c(minbyte) c-class
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Subject index 95 choice models, con
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Subject index 97 cointegration, con
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Subject index 99 constrained estima
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Subject index 101 cumsp command, [T
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Subject index 103 describe, continu
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Subject index 105 DLL, [P] plugin D
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Subject index 107 end-of-line chara
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Subject index 109 estat, continued
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Subject index 111 FEVD, [TS] Glossa
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Subject index 113 fsave, window sub
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Subject index 115 graph, continued
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Subject index 117 Harrell’s C, [S
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Subject index 119 Im-Pesaran-Shin t
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Subject index 121 invfft() function
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Subject index 123 label values, [P]
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Subject index 125 loading, [MV] Glo
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Subject index 127 markers, [G] mark
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Subject index 129 mband, graph twow
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Subject index 131 missing data, [MI
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Subject index 133 mvdecode command,
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Subject index 135 number to string
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Subject index 137 parameter trace f
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Subject index 139 polytomous logist
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Subject index 141 proportions, [R]
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Subject index 143 rc built-in varia
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Subject index 145 return, [M-2] ret
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Subject index 147 RVI, see relative
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Subject index 149 set, continued fa
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Subject index 151 Sneath and Sokel
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Subject index 153 Stata, continued
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Subject index 155 stset command for
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Subject index 157 svy: truncreg com
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Subject index 159 tests, continued
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Subject index 161 truncating real n
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Subject index 163 variables, contin
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Subject index 165 weights, continue
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