Haghish, E. F. (2014). Practical Stata Programming: Stata packages taht include dialog box.
List of Stata packages that include Dialog box (.dlg)

List of Stata packages that include dialoge box (.dlg)

   
     Package Name         Description and HTML Help File
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   alsmle            Module to perform Beach-Mackinnon AR(1) Autoregressive Maximum Likelihood Estimation
   bsopm             Module to compute Black-Scholes European Option Pricing Model
   chowreg           Module to compute Structural Change Regressions and Chow Test
   concord           Module for concordance correlation
   diagreg           Module to compute Model Selection Diagnostic Criteria
   diagreg2          Module to compute 2SLS-IV ModeL Selection Diagnostic Criteria
   eclplot           Module to generate estimates and confidence limits plots
   ellip             Module to graph confidence ellipses (version 8)
   eventstudy        Module to perform event studies in finance
   fgtest            Module to Compute Farrar-Glauber Multicollinearity Chi2, F, t Tests
   group_id          Module to group identifiers when values for specified variables match
   gs2sls            Module to estimate Generalized Spatial Two Stage Least Squares Cross Sections Regression
   gs2slsar          Module to estimate Generalized Spatial Autoregressive Two Stage Least Squares Regression
   gs2slsxt          Module to estimate Generalized Spatial Panel Autoregressive Two-Stage Least Squares Regression
   gs3sls            Module to estimate Generalized Spatial Three Stage Least Squares (3SLS)
   gs3slsar          Module to estimate Generalized Spatial Autoregressive Three Stage Least Squares (3SLS) Cross Sections Regression
   icdpic            Module to provide methods for translating International Classification of Diseases (Ninth Revision) diagnosis codes into standard injury categories and/or scores
  igencox           Module to fit generalized Cox models
   imvol             Module to compute Implied Volatility in Black-Scholes European Option Pricing Model
   kappa2            Module to produce Generalizations of weighted kappa for incomplete designs
   lmabg             Module to compute OLS Autocorrelation Breusch-Godfrey Test at Higher Order AR(p)
   lmabgnl           Module to compute NLS Autocorrelation Breusch-Godfrey Test at Higher Order AR(p)
   lmabp             Module to compute Box-Pierce Autocorrelation LM Test at Higher Order AR(p)
   lmabp2            Module to compute 2SLS-IV Box-Pierce Autocorrelation LM Test at Higher Order AR(p)
   lmabpgxt          Module to compute Panel Data Autocorrelation Breusch-Pagan-Godfrey Test
   lmabpnl           Module to compute NLS Autocorrelation Box-Pierce Test at Higher Order AR(p)
   lmabpxt           Module to compute Panel Data Autocorrelation Box-Pierce Test
   lmabxt            Module to compute Panel Autocorrelation Baltagi Test
   lmadurh           Module to compute Durbin h, Harvey LM, Wald LM Autocorrelation Tests
   lmadurh2          Module to compute 2SLS-IV Autocorrelation Dynamic Durbin h, Harvey LM, and Wald Tests
   lmadurhxt         Module to Compute Panel Data Autocorrelation Dynamic Durbin h and Harvey LM Tests
   lmadurm           Module to compute OLS Autocorrelation Dynamic Durbin m Test at Higher Order AR(p)
   lmadurmnl         Module to compute NLS Autocorrelation Dynamic Durbin m Test at Higher Order AR(p)
   lmadurmxt         Module to compute Panel Data Autocorrelation Dynamic Durbin m Test
   lmadw             Module to compute Durbin-Watson Autocorrelation Test
   lmadw2            Module to compute 2SLS-IV Autocorrelation Durbin-Watson Test at Higher Order AR(p)
   lmadwnl           Module to compute NLS Autocorrelation Durbin-Watson Test at Higher Order AR(p)
   lmalb             Module to compute Ljung-Box Autocorrelation LM Test at Higher Order AR(p)
   lmalb2            Module to compute 2SLS-IV Autocorrelation Ljung-Box Test at Higher Order AR(p)
   lmalbnl           Module to compute NLS Autocorrelation Ljung-Box Test at Higher Order AR(p)
   lmanlsur          Module to perform Overall System NL-SUR Autocorrelation Tests
   lmareg3           Module to compute Overall System Autocorrelation Tests after 3SLS and SURE
   lmasem            Module to perform  Overall System Structural Equation Modeling (SEM) Autocorrelation Tests
   lmavon            Module to compute Von Neumann Ratio Autocorrelation Test at Higher Order AR(p)
   lmavonnl          Module to compute NLS Autocorrelation Von Neumann Ratio Test at Higher Order AR(p)
   lmavonxt          Module to compute Panel Data Autocorrelation Von Neumann Ratio Test
   lmaz              Module to compute OLS Autocorrelation Z Test at Higher Order AR(p)
   lmcol             Module to compute OLS Multicollinearity Diagnostic Tests
   lmcovnlsur        Module to perform Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test after (NL-SUR) Regressions
   lmcovreg3         Module to Compute Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test after (3SLS-SURE) Regressions
   lmcovsem          Module to perform  Overall System Structural Equation Modeling (SEM) Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test
   lmcovvar          Module to compute (VAR) Breusch-Pagan Diagonal Covariance Matrix Test
   lmcovxt           Module to Compute Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test for Panel Data
   lmeg              Module to compute Augmented Engle-Granger Cointegration Test at Higher Order AR(p)
   lmfreg            Module to Compute OLS Linear vs Log-Linear Functional Form Tests
   lmfreg2           Module to compute 2SLS-IV Linear vs Log-Linear Functional Form Tests
   lmgc              Module to compute Granger Causality Test at Higher Order AR(p)
   lmharch           Module to compute OLS Heteroscedasticity Engle (ARCH) Test
   lmhcw             Module to Compute OLS Heteroscedasticity Cook-Weisberg Test
   lmhcwnl           Module to compute NLS Heteroscedasticity Cook-Weisberg Test
   lmhgl             Module to Compute Glejser Lagrange Multiplier Heteroscedasticity Test for Residuals after OLS Regression
   lmhharv           Module to Compute Harvey Lagrange Multiplier Heteroscedasticity Test for Residuals after OLS Regression
   lmhhp             Module to Compute OLS Heteroscedasticity Hall-Pagan Test
   lmhhp2            Module to Compute 2SLS-IV Heteroscedasticity Hall-Pagan Test
   lmhhpnl           Module to compute NLS Heteroscedasticity Hall-Pagan Test
   lmhhpxt           Module to compute Panel Data Heteroscedasticity Hall-Pagan Test
   lmhlmxt           Module to Compute Breusch-Pagan Lagrange Multiplier Panel Heteroscedasticity Test
   lmhlrxt           Module to Compute Greene Likelihood Ratio Panel Heteroscedasticity Test
   lmhmss2           Module to Compute 2SLS-IV Heteroscedasticity Machado-Santos-Silva Test
   lmhnlsur          Module to perform Overall System NL-SUR Heteroscedasticity Tests
   lmhreg3           Module to compute Overall System Heteroscedasticity Tests after (3SLS-SURE) Regressions
   lmhsem            Module to perform  Overall System Structural Equation Modeling (SEM) Heteroscedasticity Tests
   lmhwald           Module to compute OLS Heteroscedasticity Wald Test
   lmhwaldxt         Module to compute Panel Data Heteroscedasticity Wald Test
   lmnad             Module to Compute OLS Non Normality Anderson-Darling Test
   lmnadxt           Module to compute Panel Data Non Normality Anderson-Darling Test
   lmndh             Module to Compute OLS Non Normality Doornik-Hansen Test
   lmndp             Module to Compute OLS Non Normality D'Agostino-Pearson Test
   lmngr             Module to compute Jarque-Bera Non Normality Lagrange Multiplier Runs Test for Residuals after OLS Regression
   lmngry            Module to compute Geary Non Normality Lagrange Multiplier Runs Test
   lmngryxt          Module to compute Panel Data Non Normality Geary Runs Test
   lmnjb             Module to compute Lagrange Multiplier LM Jarque-Bera Normality Test
   lmnjbnl           Module to compute NLS Non Normality Jarque-Bera Test
   lmnnlsur          Module to perform Overall System NL-SUR Non-Normality Tests
   lmnreg3           Module to compute Overall System Non Normality Tests after (3SLS-SURE) Regressions
   lmnsem            Module to perform  Overall System Structural Equation Modeling (SEM) Non Normality Tests
   lmnwhite          Module to Compute White Non Normality Lagrange Multiplier Test after OLS Regression
   lmnwhitenl        Module to compute NLS Non Normality White Test
   lmnwhitext        Module to compute Panel Data Non Normality White Test
   lmsrd             Module to compute Spurious Regression Diagnostic after OLS Regression
   logithetm         Module to estimate Logit Multiplicative Heteroscedasticity Regression
   meloreg2          Module to perform Minimum Expected Loss (MELO) Instrumental Variables Regression
   meta_lr           Module to graph positive and negative likelihood ratios in diagnostic test
   metaaggr          Modules for meta-analysis of aggregate data
   metabias          Module to test for small-study effects in meta-analysis
   metadialog        Module to provide sub-menu and dialogs for meta-analysis commands
   metafunnel        Module to produce funnel plots for meta-analysis
   metan             Module for fixed and random effects meta-analysis
   metaninf          Module to evaluate influence of a single study in meta-analysis estimation
   metareg           Module to perform meta-analysis regression
   nstagebin         Module to perform sample size calculation for multi-arm multi-stage randomised controlled trials with binary outcomes
   pam               Module to Estimate Policy Analysis Matrix (PAM)
   panelauto         Module to support tests for autocorrelation on panel data
   panelunit         Module to support unit root tests on panel data
   pantest2          Module to perform diagnostic tests in fixed effects panel regressions
   pem               Module to Estimate Partial EquiLibrium Model (PEM)
   project           Module providing a set of tools to build and manage a Stata project
   psmatch2          Module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing
   r2nlsur           Module to perform Overall System (NL-SUR) System R2, Adj. R2, F-Test, and Chi2-Test
   r2reg3            Module to compute System R2, Adj. R2,  F-Test, and Chi2-Test after reg3 or sureg
   r2sem             Module to perform Overall System Structural Equation Modeling (SEM) R2, Adj. R2, F-Test, and Chi2-Test
   r2var             Module to Compute (VAR) Overall System R2, F-Test, and Chi2-Test
   reset             Module to calculate specification tests in regression analysis
   reset2            Module to calculate specification tests in 2SLS-IV regression analysis
   rfl               Module to maintain lists of recently accessed files
   ridge2sls         Module to compute Two-Stage Least Squares (2SLS) Ridge & Weighted Regression
   ridgereg          Module to compute Ridge Regression Models
  savespss          Module to save data to SPSS (.sav) system file
   spautoreg         Module to estimate Spatial (Lag-Error-Durbin-SAC-SPGKS-SPGSAR-GS2SLS-GS3SLS-SPML-SPGS-SPIVREG-IVTobit)
   spcs2xt           Module to Convert Cross Section to Panel Spatial Weight Matrix
   spmstar           Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression Models
   spmstard          Module to estimate Multiparametric Spatio Temporal AutoRegressive Regression Spatial Durbin Cross Sections Models
   spmstardh         Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Multiplicative Heteroscedasticity Cross Sections Models
   spmstardhxt       Module to estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Multiplicative Heteroscedasticity Panel Models
   spmstardxt        Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Panel Models
   spmstarh          Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Multiplicative Heteroscedasticity Cross Sections Models
   spmstarhxt        Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Multiplicative Heteroscedasticity Panel Models
   spmstarxt         Module to Estimate (m-STAR) Spatial Panel Multiparametric Spatio Temporal AutoRegressive Regression Models
   spregdhp          Module to estimate Spatial Panel Han-Philips Linear Dynamic Regression: Lag & Durbin Models
   spregdpd          Module to estimate Spatial Panel Arellano-Bond Linear Dynamic Regression: Lag & Durbin Models
   spregfext         Module to compute Spatial Panel Fixed Effects Regression: Lag and Durbin Models
   spreghetxt        Module to Estimate Spatial Panel Random-Effects Multiplicative Heteroscedasticity Regression: Lag and Durbin Models
   spregrext         Module to compute Spatial Panel Random Effects Regression: Lag and Durbin Models
   spregsac          Module to estimate Maximum Likelihood Estimation AutoCorrelation (SAC) Cross Section Regression
   spregsacxt        Module to Estimate Maximum Likelihood Estimation Spatial AutoCorrelation (SAC) Panel Regression
   spregsar          Module to estimate Maximum Likelihood Estimation Spatial Lag Cross Sections Regression
   spregsarxt        Module to Estimate Maximum Likelihood Estimation Spatial Lag Panel Regression
   spregsdm          Module to Estimate Maximum Likelihood Estimation Spatial Durbin Cross Sections Regression
   spregsdmxt        Module to Estimate Maximum Likelihood Estimation Spatial Panel Durbin Regression
   spregsem          Module to Estimate Maximum Likelihood Estimation Spatial Error Cross Sections Regression
   spregsemxt        Module to Estimate Maximum Likelihood Estimation Spatial Error Panel Regression
   sptobitmstar      Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Cross Sections Models
   sptobitmstard     Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Cross Sections Models
   sptobitmstardh    Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Multiplicative Heteroscedasticity Cross Sections Models
   sptobitmstardhxt  Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Multiplicative Heteroscedasticity Panel Models
   sptobitmstardxt   Module to estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Panel Models
   sptobitmstarh     Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Multiplicative Heteroscedasticity Cross Sections Models
   sptobitmstarhxt   Module to estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Multiplicative Heteroscedasticity Panel Models
   sptobitmstarxt    Module to estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Panel Models
   sptobitsac        Module to Estimate Tobit MLE Spatial Autocorrelation Cross Sections Regression
   sptobitsacxt      Module to estimate Tobit MLE Spatial AutoCorrelation (SAC) Panel Regression
   sptobitsar        Module to Estimate Tobit MLE Spatial Lag Cross Sections Regression
   sptobitsarxt      Module to estimate Tobit MLE Spatial Lag Panel Regression
   sptobitsdm        Module to Estimate Tobit MLE Spatial Durbin Cross Sections Regression
   sptobitsdmxt      Module to estimate Tobit MLE Spatial Panel Durbin Regression
   sptobitsem        Module to Estimate Tobit MLE Spatial Error Cross Sections Regression
   sptobitsemxt      Module to estimate Tobit MLE Spatial Error Panel Regression
   spweight          Module to compute Cross Section Spatial Weight Matrix
   spweightcs        Module to compute Cross Section Spatial Weight Matrix
   spweightxt        Module to compute Panel Spatial Weight Matrix
   spxttobit         Module to estimate Tobit Spatial Panel Autoregressive Generalized Least Squares Regression
   sslope            Module to calculate slope coefficients for regression interactions
  subsim_1          Module providing subsidy simulation toolkit (SUBSIM)
   subsim_2          Module providing subsidy simulation toolkit (SUBSIM)
   theilr2           Module to compute Theil R2 Multicollinearity Effect
   tobithetm         Module to estimate Tobit Multiplicative Heteroscedasticity Regression
  usexmlex          Module to import data stored in XML format
   varprod           Module to Generate Row Product of Variables
   vartyp            Module to set variable types for codebook2
   wbopendata        Module to access World Bank databases
   xtidt             Module to compute Identification Variables in Panel Data
   xtregam           Module to estimate Amemiya Random-Effects Panel Data: Ridge and Weighted Regression
   xtregbem          Module to estimate Between-Effects Panel Data: Ridge and Weighted Regression
   xtregbn           Module to estimate Balestra-Nerlove Random-Effects Panel Data: Ridge and Weighted Regression
   xtregdhp          Module to estimate Han-Philips (2010) Linear Dynamic Panel Data Regression
   xtregfem          Module to estimate Fixed-Effects Panel Data: Ridge and Weighted Regression
   xtreghet          Module to estimate MLE Random-Effects with Multiplicative Heteroscedasticity Panel Data Regression
   xtregmle          Module to estimate Trevor Breusch MLE Random-Effects Panel Data: Ridge and Weighted Regression
   xtregrem          Module to estimate Fuller-Battese GLS Random-Effects Panel Data: Ridge and Weighted Regression
   xtregsam          Module to estimate Swamy-Arora Random-Effects Panel Data: Ridge and Weighted Regression
   xtregwem          Module to estimate Within-Effects Panel Data: Ridge and Weighted Regression
   xtregwhm          Module to estimate Wallace-Hussain Random-Effects Panel Data: Ridge and Weighted Regression
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