史上最全的 Stata 外部命令一览
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项目介绍
史上最全的 Stata 外部命令一览，可以在线查看帮助文件。
导言
这里汇集了截至 2015年1月1日 为止的所有 Stata 外部命令。可以在线查看每个外部命令的帮助文件。
对于感兴趣的命令，可以使用 findit在 Stata 命令窗口中搜索后下载，亦可直接使用ssc install命令直接下载。浏览最近一个月发布的新命令，请点击 - Stata最近一月外部命令 - 按 a-z 顺序浏览所有外部命令，请点击 Statistical Software Components - SSC
SSC - Stata 外部命令列表
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a2reg module to estimate models with two fixed effects aaniv module to compute unbiased IV regression aaplot module for scatter plot with linear and/or quadratic fit, automatically annotated abar module to perform Arellano-Bond test for autocorrelation abg module to implement the Alpha-Beta-Gamma Method of Distributional Analysis aboutregmodule providing tutorial on regression diagnosticsabsdid module to estimate treatment effect with Abadie semiparametric DID estimator acelong module to fit multilevel mixed-effects ACE, AE and ADE variance decomposition models acplot module to plot the autocorrelogram actest module to perform Cumby-Huizinga general test for autocorrelation in time series addbefore module to add number or character before a variable addinby module to add in data from a disk dataset using a foreign key addnotes program to add notes to the end of text files addplot module to add twoway plot objects to an existing twoway graph addtex module to display text on a graph addtxt module to add text to graphs adecomp module to estimate Shapley Decomposition by Components of a Welfare Measure adfmaxur module to calculate Leybourne (1995) ADFmax unit root test statistic along with 1, 5 and 10% finite-sample critical values and associated p-values adftest module to perform ADF and Breusch-Godfrey tests adjacent module to list adjacent values of variables "- adjksm module to perform adjusted ""ksm"" for robust scatterplot smoothing" adjmean module to calculate variables' means adjusted for covariates adjprop module to calculate adjusted probabilities from logistic regression estimates adjust module (corrected) to compute adjusted predictions and probabilities after estimation admetan module to provide comprehensive meta-analysis adodev module to reorder ado-path for developers and other independent-minded users adoedit module to edit ado file in Stata's do-file editor adolist module to manage lists of ado packages adostore module to store and restore the current ado-path adotype module to type ado file aedot module to produce dot plot for adverse event data aefdr module to perform false discovery rate p-value adjustment for adverse event data aevolcano module to produce volcano plot for adverse event data aextlogit module to compute average elasticities for fixed effects logit affiliationexposure module to compute an affiliation exposure model using two-mode actor(row)-by-event(column) network data aformatmodule to condense the display format of a variableaggind module to aggregate indicators among units within a specified radius "- agrm module to calculate van der Eijk's measure of agreement ""A""" ainequal module to compute measures of inequality airnet module to create networks from airline traffic data akdensity module to perform adaptive kernel density estimation albatross module to create albatross plots alignedpairs module to perform the aligned ranks test for matched pairs (Hodges-Lehmann) alignedranks module to perform a two-sample aligned rank-sum (Hodges-Lehmann) test with exact statistics for small samples alignedsets module to perform aligned ranks test for matched sets (Hodges-Lehmann) alignmicro module to perform alignment in microsimulation allcross modules to create variables corresponding to moment matrices allpossible module to fit all possible models with subsets of predictors allsubsets module to perform all subsets (combinatorial) meta-analysis in a set of studies almon Module to Estimate Shirley Almon Generalized Polynomial Distributed Lag Model almon1 module to estimate Shirley Almon Polynomial Distributed Lag Model alogit module to estimate (In)attentive logit regression from Abaluck and Adams alorenz module to produce Pen's Parade, Lorenz and Generalised Lorenz curve alphawgt module to compute Cronbach's alpha for weighted data alsmle module to perform Beach-Mackinnon AR(1) Autoregressive Maximum Likelihood Estimation amcmcmodule to provide Mata functions and structures for adaptive Markov chain Monte Carlo samplinganketest module to perform diagnostic tests for spatial autocorrelation in the residuals of OLS, SAR, IV, and IV-SAR models anogi module to generate Analysis of Gini anovaplot module for plots of anova fit, including interaction plots anymatch module to perform distance matching based on any metric anythingtodate module to convert all types of date variables to Stata date variables apcmodule for estimating age-period-cohort effectsapcd module for estimating age-period-cohort effects with detrended coefficients apcgo module to calculate age-period-cohort effects for the gap between two groups (based on a Blinder-Oaxaca decomposition), including trends for each parameter apch module for estimating age-period-cohort and hysteresis effects apoverty module to compute poverty measures appendfile module to append text files archlm module to calculate LM test for ARCH effects archqq module to generate Q-Q plot and distribution tests for ARCH models ardl module to perform autoregressive distributed lag model estimation arimafit module to calculate AIC, SIC for ARIMA model armadiag module to compute post-estimation residual diagnostics for time series armaroots module to compute roots of AR- and MA-polynomials arraypackage to support arrays of variablesarrowplot module to produce combined plot for graphing inter-group and intra-group trends artmodule for complex sample size calculation in randomized trialsascii module to display the ASCII character set asciiplot module to generate ASCII character map ascol module to convert frequency of stock returns or stock prices asdoc module to create high-quality tables in MS Word from Stata output asgen module to generates weighted average mean using an existing variable as weight ashell module to capture output from OS shell command asl_norm module computing bootstrap Gaussianity tests asreg module to estimate rolling window regressions. Fama-MacBeth and by(group) regressions asrol module to generate rolling window / groups descriptive statistics assertky module to assert unique dataset keys astile module to provide a faster and byable alternative for xtile astx module to create a table of descriptive statistics and t-statistics by a grouping variable atkplotmodule to generate Atkinson residual normality plotsautofmt module to automatically format a significant number of digits autolog module to generate dialog to create log files autorename module to automatically rename variables autosum module to produce automatic generation of a comparison table avar module to perform asymptotic covariance estimation for iid and non-iid data robust to heteroskedasticity, autocorrelation, 1- and 2-way clustering, and common cross-panel autocorrelated disturbances avciplot module to produce added-variable plot with confidence intervals avg_effect module to calculate mean (standardized) effect size across multiple outcomes avicplotmodule to produce added-variable plot with confidence intervalsavplot2 modules for added variable plots avplot3 module to generate partial regression plots for subsamples avplots4 module to graph added-variable plots for specified regressors in a single image
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b1x2 module to account for changes when X2 is added to a base model with X1 babibplot module to plot two graph types which are rooted in Bland-Altman plots using journal and paper percentiles backrasch module to implement a backward procedure with a Rasch model backup module to make daily backup of important files (Windows only) bacondecomp module to perform a Bacon decomposition of difference-in-differences estimation balancetable module to build a balance table and print it in a LaTeX file or an Excel file bandplot module to plot summary statistics of responses for bands of predictors baplot module to produce Bland-Altman plots barplot module to plot varlist against xvar barplot2 module to produce bar plot with optional error bars basetable module to compare a set of risk factors or effects with respect to a categorical variable batcher module to parallelise tasks batplot module to produce Bland-Altman plots accounting for trend bayerhanck module to compute test for non-cointegration bayesmixedlogit module to perform Bayesian estimation of mixed logit models bayesmixedlogitwtp module for Bayesian estimation of mixed logit model in willingness-to-pay (WTP) space bayesmlogit module to perform Bayesian estimation of mixed logit models bcii module to to estimate the number needed to treat (NNT) and confidence intervals for patients improving, or ‘benefiting’ (either improvements gained or deteriorations prevented), in a randomised controlled trial bcoeff module to save regression coefficients to new variable bcoeffs module to save regression coefficients to new variable bcss module to create graphs to show how baseline data (prospective or retrospective) affect sample size for a cluster randomised trial bcstats module to analyze back check (field audit) data and compare it to the original survey data bctobit module to produce a test of the tobit specification bcuse module to access instructional datasets on Boston College server bdiff module to compute Bootstrap and Permutation tests for difference in coefficients between two groups beamplot module to draw horizontal dotplots using beams benford module to test Benford's Law on a variable betacoef module to calculate beta coefficients from regression betafit module to fit a two-parameter beta distribution betaprior module to calculate the parameters of a Beta distribution given the mean and variance betterbar module to produce bar graphs with optional standard error bars and cross-group comparisons bfmcorr module for correcting surveys using tax data bgshade module to add background shading to twoway plots using either dummy variable(s) denoting shaded areas and/or precoded NBER recessions bgtest module to calculate Breusch-Godfrey test for serial correlation bhatt module to compute Bhattacharyya Coefficient and Bhattacharyya Distance statistics of distribution overlap biasepi module to perform simple bias analysis, multidimensional bias analysis, and multiple bias modeling bibrep module to produce a bibliometric report on a single senior researcher bic module to evaluate the statistical significance of variables in a model bicdrop1 module to estimate the probability a model is more likely without each explanatory variable bidensity module to produce and graph bivariate density estimates bihist module to produce bihistograms bineq module to analyze multidimensional inequality in two dimensions of wellbeing binscatter module to generate binned scatterplots bioprobit module for bivariate ordered probit regression biplot module to generate biplots biplotvlab module to produce biplot with variable labels bipolate module to perform bivariate interpolation and smooth surface fitting for values given at irregularly distributed points birthsim module to simulate completed fertility and birth intervals bitobit module to perform bivariate Tobit regression bking module to implement Baxter-King filter for timeseries data bkrosenblatt module for Blum, Kiefer and Rosenblatt test of bivariate independence blinding module to compute blinding indexes blindschemes module to provide graph schemes sensitive to color vision deficiency blist module to list values of variables in as small a space as possible blogit2module to produce grouped data logit with support for inblp module to estimate Berry Levinsohn Pakes random coefficients logit estimator bmemodule to compute Bounded midpoint estimatorbmi module to compute Body Mass Index bmjcip module to format confidence intervals and P-values for medical journals bmp2dta module to convert bitmap files to Stata datasets bnormpdf module to calculate the bivariate normal density boost module to perform boosted regression boottest module to provide fast execution of the wild bootstrap with null imposed boxpanel module to produce box plots for panel data boxtid module to fit Box-Tidwell and exponential regression models bpagan module to perform Breusch-Pagan test for heteroskedasticity bpass module to compute band pass filter for time series data bpmedian module to compute Bonett-Price confidence intervals for medians and their contrasts brain module to provide neural network brewscheme module for generating customized graph scheme files brglm module to perform bias-reduced estimation of binary response models brmunid module to standardize geocodes for Brazilian municipalities bronch module to describe bronchiolitis severity bsens module to compute Sensitivity metric using McNemar's test bsopm module to compute Black-Scholes European Option Pricing Model bspline modules to compute B-splines parameterized by their values at reference points btobitmodule to produce a test of the tobit specificationbuckley module to implement Buckley-James method for analysing censored data bugsdat module to convert a Stata datafile into the S-plus format used in Winbugs bugwrite module to write data from Stata into a format compatible with WinBUGS bundle module to bundle image files in a web page using base64 encoding butterworth module to implement Butterworth square-wave highpass filter for timeseries data byhist module to produce interlaced histograms bynote module to Create a note with a user-specified format for use with the by option bys module to automatically sort on the bylist (version 5) bystore module to repeat estimation commands and store estimates byvar module to repeat a command by variable
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cal module to generate calendar calibest module to estimate proportions and means after survey data have been calibrated to population totals calibrmodule for inverse regression and calibrationcalibrate module to calibrate survey datasets to population totals calinski module to compute Calinski-Harabasz cluster stopping index from distance matrix calipmatch module for caliper matching without replacement callsado module to find (user-written) ado-files called by (a)do-file canonmodule (corrected) to compute canonical correlationscapass module to wrap Stata's assert command, throws error messages carryforward module to carry forward previous observations cart module to perform Classification And Regression Tree analysis casefat module for estimating the case fatality ratio of a new infectious disease catdevmodules for interpretation of categorical dependent variable modelscatenate module to concatenate variables into string variable caterpillar module to generate confidence intervals, Bonferroni-corrected confidence intervals, and null distribution catgraph module to plotting means of a variable by category catplot module for plots of frequencies, fractions or percents of categorical data cb2html module to write a codebook to an HTML file cbarplot module for centred bar plots of absolute or relative frequencies ccmatch module to match cases and controls using specified variables ccmpre module to compute PRE Measures for Cultural Consensus Models cctable module to calculate summary table for case-control study ccweight module to generate inverse sampling probability weights cddens module to estimate a Density under Measurement Error using Auxiliary Information cdfplot module to plot a cumulative distribution function cdfquantreg module for estimating generalized linear models for doubly-bounded random variables with cdf-quantile distributions cdo module to get an update when the dofile stalls cdout module to display the current working directory cdreg module to estimate Linear Regression under Measurement Error using Auxiliary Information cedesign module to find the optimal flexible two stage single-arm binary outcome design cem module to perform Coarsened Exact Matching cenpois module to estimate censored maximum likelihood Poisson regression models censornb module to estimate censored negative binomial regression as survival model censusapi module to download Census data through the Census API centcalc module to calculate distribution-based centiles center module to center (or standardize) variables centpow module to calculate centrality and power indices for each node in a network. centroid module to calculate centroids cepois module to estimate censored maximum likelihood Poisson regression models ceq module to carry out Commitment to Equity (CEQ) fiscal incidence analysis cf2 module to compare two datasets cf3 module to compare two datasets cfby module to compare datasets and produce discrepancy rates cfitzrw module to implement Christiano-Fitzgerald Random Walk band pass filter for timeseries data cflpois module to calculate confidence limits for rates based on Poisson outcome cfout module to compare two datasets, saving a list of differences cfvars module to compare variable name lists in two data sets cgroup module to group contiguous observations with identical values of a varlist chaid module to conduct chi-square automated interaction detection chaidforest module to conduct random forest ensemble classification based on chi-square automated interaction detection (CHAID) as base learner changemean module to compute Income and Inequality Contribution on Poverty Variation chaos module to iterate a logistic difference equation chardef module to assign values to a characteristic of a list of variables charlist module to list characters present in string variable charlson module to calculate Charlson index of comorbidity charon module to redistribute deaths by ill-defined causes and garbage codes chartab module to tabulate character frequency counts charutilmodule of utilities for working with characteristicscheckfor2 module to check whether a variable exists or not in a dataset checkipaddresses module to detect Fraud in Online Surveys by Tracing and Scoring IP Addresses checkreg3 module to check identification status of simultaneous equations system checkrob module to perform robustness check of alternative specifications checkvar module to check the values of a created variable chewfile module to chew and digest ASCII file down to size china_mapmodule to provide map of China's provinceschina_spatdwmmodule to provide spatial distance matrices for Chinese provinces and citieschinafin module to retrieve Chinese listed firms' financial data chinagcode module to geocode Chinese addresses chiplot module to produce graphical assessment plot for dependence chm module to copy hard missings choi_lr_test module to perform Choi's likelihood ratio test chowreg module to compute Structural Change Regressions and Chow Test chunky module to chunk a large text file into smaller parts chunky8 module to chunk a large text file into smaller parts (version 8) ci2 module to compute confidence intervals for correlations ci_marg_mu module to produce simulation-based confidence intervals after gllapred cibar module to plot bar graphs and confidence intervals over groups cibplot module for bar-on-bar plots of confidence intervals cic module to implement the Athey and Imbens (2006) Changes-in-Changes model cid module to calculate confidence intervals for means or differences ciform module to format confidence interval for tables in documents cifunction module for computing and graphically displaying all possible confidence intervals around a point estimate cihplot module to show horizontally labelled plots showing confidence intervals cij module for binomial confidence intervals for proportions using Jeffreys prior ciplot module for plots of confidence intervals cipolate module for cubic interpolation circstatmodules to calculate circular statisticscircular module for circular statistics cisd module to compute confidence intervals for standard deviations cistat module to produce confidence intervals in matrix form civplot module to plot confidence intervals vertically ciw module for binomial confidence intervals for proportions using Wilson scores ciwidth_proportions_mc module to calculate precision and power for a CI-based comparison of two independent proportions (RD, RR, or OR) ckvar module to allow error checking routines to easily be defined and attached directly to variables classplot module to plot predicted probability and empirical values after a binary response model classtabi module for generating classification statistics and table using summarized data clean_class module to clean classroom variables clean_fnamemodule to clean firstname variablesclean_lnamemodule to clean lastname variablesclean_name module to clean name variables cleanchars module to replace specific characters or strings in variable names and/or variable labels and/or string variable values and/or value label names and levels with stated characters/strings (using 1-1 or m-1 match) cleanlog module to clean log files clemao_iomodule to perform unit root tests with one or two structural breaksclogithet module to estimate heteroscedastic conditional logit model clorenz module to estimate Lorenz and concentration curves clrbound module to perform estimation and inference on intersection bounds clstop_lbt module to add stopping rule in cluster analysis cltestmodules for performing cluster-adjusted chi-square and t-testsclump module to compute permutation test approach to assessing genetic associations with case/control status cluster module to perform nonhierarchical k-means (or k-medoids) cluster analysis cluster2 module to perform power analysis for two-level cluster randomized trials cluster3 module to perform power analysis for up to three-level cluster randomized trial clusterbs module to perform a pairs symmetric cluster bootstrap-t procedure clustergram module to produce graph for visualizing hierarchical and non-hierarchical cluster analyses clustpop module to estimate population cluster group assignments clustse module to estimate the statistical significance of parameters when the data is clustered with a small number of clusters clustsens module to perform sensitivity analysis for cluster commands clv module to implement a clustering of variables around latent components cm2in module to provide conversion between inch/cm and others cmatch module to tabulate matched pairs in 1:1 case control study by exposure status cmaxuse module to access Cmax instructional datasets cme program to estimate generalized linear models with covariate measurement error cmitestmodule to implement testing and inference methods for conditional moment inequalities/equalities modelscmogram module to plot histogram-style conditional mean or median graphs cmp module to implement conditional (recursive) mixed process estimator cnar module to retrieve Chinese listed firms' financial data cnbreg module to estimate negative binomial regression - canonical parameterization cndnmb3module to calculate condition number of regressor matrixcngcode module to geocode Chinese addresses cnindex module to download historical stock quotations from Chinese market cnintraday module to Download intraday stock quotations for a list of stock codes in a given date from SinaFinance cnmapsearch module to extract the specified information by keyword in a certain geographic range cnormp module to evaluate censored normal distribution cns module to compute Consensus Measure for Ordinal Scales cnsrsig module to evaluate validity of restrictions on a regression cnstock module to download stock names and codes for Chinese listed companies cntop10 module to download information of top 10 shareholders for a list of stock codes from HeXun cntrade module to retrieve Chinese stock market quotations from NetEase cntraveltime module to extract the time needed for traveling between two locations from Baidu Map cochran module to test for equality of proportions in matched samples (Cochran's Q) codci module to calculate Bonett-Seier's Confidence Interval for the COD codebook2 module to produce a codebook describing a data file codebook_ripper module to convert metadata managed in a spreadsheet into do files with renaming, notes as well as variable and value labelling codebookout module to save codebook in MS excel format coefplot module to plot regression coefficients and other results cohend module to compute Cohen's d coldiag module to perform BWK regression collinearity diagnostics coldiag2 module to evaluate collinearity in linear regression colelms module to calculate Cole's LMS values for growth data collapse2 module to extend the collapse command collapseunique module to reduce data to unique observations based on specified key variables colorscatter module to draw scatter plots with marker colors varying by a third variable. colrspace module providing a class-based color management system in Mata combinatorics module to evaluate the performance of all possible 2^n models generated with a given set of n possible explanatory variables combine module to combine n, mean, and SD from two groups according to the Cochrane-recommended formula for meta-analyses combineplot module to combine similar univariate or bivariate plots for different variables combival module to combine levels of a categorical variable over observation groups combomarginsplot module to combine the saved results from multiple calls to margins into one marginsplot complexity module to compute complexity indexes from comparative advantage tables complogit module to compare logit coefficients across groups comtrade module to download trade data from UN Comtrade using jsonio and parse the output in a user friendly format concindc module to calculate concentration index with both individual and grouped data concindexmodule to calculate measures of the concentration indexconcord module for concordance correlation concordance module to harmonize classification codes conddens module to estimate a conditional density to correct for measurement error and missing values condisc module to perform convergent and discriminant validity assessment in CFA confa module to perform confirmatory factor analysis modeling confall module to plot and display estimates to assess confounding confirmdir module to confirm if a directory exists confnd module to plot and display estimates to assess confounding confsvy module to assess confounding effects in survey studies conindex module to perform estimation of concentration indices contour module to draw contour plots contrast module to calculate contrasts between factor levels convert_top_lines module to handle leading lines of text file copycode module to produce modular self-written ado files copydesc module to copy description of variable coranal module to perform simple correspondence analysis corr2docx module to report Pearson & Spearman correlation coefficients to formatted table in DOCX file corr_svy module to compute correlation tables for survey data corrtab module to display correlation coefficients in a formatted tabular output corrtable module to show correlation matrix as graphical table corrtex module to generate correlation tables formatted in LaTeX corsp module to display combined Pearson and Spearman correlation matrix cortesti module to test equality of two correlation coefficients cospectdens module to compute cross spectra couliari module to implement Corbae-Ouliaris frequency domain filter to time series data countmatch module to count matching values for one variable in another covbal module for producing covariate balance statistics cpcorr module for correlations for each row vs each column variable cpigen module to add US CPI series to current dataset cpiget module to construct an annual CPI series based on a user-specified fiscal-year time span cpoisson module to estimate censored Poisson regression cpoissone module to estimate censored Poisson regression (econometric parameterization) cpr module producing results for all possible combinations of arguments cprdcribs module providing template do-files for inputting CPRD datasets into Stata cprdenttype module to convert CPRD entity string data of any enttype to numeric cprdentutil module to convert CPRD entity data variables to numeric variables cprdhesaeutil module to input CPRD HES A&E linkage datasets into Stata cprdhesoputil module to input CPRD HES/OP linkage datasets into Stata cprdhesutil module for inputting HES-linkage datasets into Stata cprdlinkutil module for inputting CPRD linkage-source datasets into Stata cprdlsoautil module to input CPRD LSOA-linkage datasets into Stata cprdonsutil module to input CPRD ONS-linkage datasets into Stata cprdutil module for inputting CPRD datasets into Stata cpredict module to produce conditional predictions cprplot2 module to graph component-plus-residual plots for transformed regressors cprplots module to graph (augmented) component-plus-residual plots in a single image cpyxplot module to produce scatter plots for each y vs each x variable cqiv module to perform censored quantile instrumental variables regression cquadmodule to perform conditional maximum likelihood estimation of quadratic exponential modelscquantile module to generate corresponding quantiles crater module to calculate computer scorer vs. human rater agreement statistics creplace module to exchange values cyclically between variables crm module to implement the continual reassessment model crossfold module to perform k-fold cross-validation crossplot module for scatter (or other twoway) plots for each y vs each x variable crtest module to perform Cramer-Ridder Test for pooling states in a Multinomial logit crtrees module to compute Classification and Regression Trees algorithms csipolate module to perform cubic spline interpolation csjl module to extend cs command for exposures with more than two categories cstable module to calculate summary table for cohort study csti module that modifies csi command in order to use total numbers rather than individual cell counts csvconvert module to append multiple csv files cta module for conducting Classification Tree Analysis ctabstat module to display table of summary statistics ctreatreg module for estimating dose-response models under exogenous and endogenous treatment cub module to estimate ordinal outcome model estimated by a mixture of a uniform and a shifted binomial cuentacot module for Contributions Counting cureregr module to estimate parametric cure regression cureregr8 module to estimate parametric cure regression (version 8.2) curvefit module to produces curve estimation regression statistics and related plots between two variables for alternative curve estimation regression models cusum6 module to compute cusum, cusum^2 stability tests cutpt module for empirical estimation of cutpoint for a diagnostic test cv module to compute coefficient of variation after regress cv2 module to calculate the coefficient of variation for variables cv_regress module to estimate the leave-one-out error for linear regression models cvauroc module to compute Cross-validated Area Under the Curve for ROC Analysis after Predictive Modelling for Binary Outcomes cvcrand module for efficient design and analysis of Cluster Randomized Trials cvxhull module to compute and plot convex hulls of bivariate data cycleplot module for cycle plot (month plot or seasonal subseries plot)
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d3network module to create network visualizations using D3.js to view in browser dag module to provide utilities for directed acyclic graphs dagfit module to fit a Generalized Beta (Type 2) distribution to grouped data via ML dagumfit module to fit a Dagum distribution by maximum likelihood dash module to score Disabilities of the Arm, Shoulder and Hand dashgph module to construct dashed lines in scatterplots dashln module to add dashed lines to graphs datacheck module to perform data checks and produce informative output dataex module to generate a properly formatted data example for Statalist dataframemodule to store/restore multiple Stata datasets to/from memorydatanet module to facilitate dataset organization for network analysis purposes dataout module to export a dataset or tab-delimited file into various formats dataplink module to import data from plink datelist module to to create ascending numeric lists of dates datesum module to display summary statistics for date variables datmat module to multiply variables via matrix multiplication dbmscopybatch module to produce a batch file for DBMS/Copy dbnomics module for DB.nomics, the world's economic database dcreate module to create efficient designs for discrete choice experiments ddf2dct module to facilitate infiling US Government data distributed with a DDF deci module to perform Variable Base conversion decomp module to compute decompositions of earnings gaps decompose module to compute decompositions of wage differentials delta module to compute the Delta index of scale discrimination demotivate module to remind users of the harsh reality of econometric & statistical practice denton module to interpolate a flow or stock series from low-frequency totals via proportional Denton method dep4asm module to create [in]dependent variable for alternative-specific models depthplot module to plot one or more variables with depth as vertical axis des2 module to describe current dataset with clickable output descgen module to add Stata dataset attribute variables to a xdir resultsset desclong module to create and save a dataset holding variable information while including long variable labels descogini module to perform Gini decomposition by income source descsave module to export data set and machine-readable codebook designplot module to produce a graphical summary of response given one or more factors desmamodule to design and simulate (adaptive) multi-arm clinical trialsdesmat module to generate interactions and contrasts detect module to compute the DETECT, Iss and R indexes to test a partition of items devcon module to apply the deviation contrast transform to estimation results devnplot module for deviation plots devr2 module to compute Cameron and Windmeijer's deviance based R-squared measure dfao module to perform Dickey-Fuller unit root test in the presence of additive outliers dfgls module to compute Dickey-Fuller/GLS unit root test dfl module to estimate DiNardo, Fortin and Lemieux Counterfactual Kernel Density dfsummary module to compute the (Augmented) Dickey-Fuller unit-root test and reports a summary table for different lags dftol module to compute distribution-free tolerance intervals diagram module to analyze executed ado programs and produce a dynamic profile diagram diagreg module to compute Model Selection Diagnostic Criteria diagreg2 module to compute 2SLS-IV ModeL Selection Diagnostic Criteria diagt module to report summary statistics for diagnostic tests compared to true disease status diagtest module to report summary statistics for diagnostic test did_multiplegt module to estimate sharp Difference-in-Difference designs with multiple groups and periods didq module to compute treatment effects under alternative Parallel-q assumptions difd module to evaluate test items for differential item functioning (DIF) difdetect module to detect and adjust for differential item functioning (DIF) diff module to perform Differences in Differences estimation diffpi module to calculate difference expressed as a percentage difwithpar module for detection of and adjustment for differential item functioning (DIF) digdis module to analyze the distribution of digits digitsmodule to examine digit preferences in numeric variablesdiplot module to draw double interval plot diptest module to compute dip statistic to test for unimodality directma module to conducts multiple pair-wise meta-analysis (head-to-head comparisons) and export the pooled results to Excel dirifit module to fit a Dirichlet distribution dirlist module to retrieve directory information dirtools modules to manage files in the working directory discrepancy module to implement a pseudo-ANOVA method for partitions of pairwise distance matrices disjoint module to generate end variable demarcating disjoint spells dissim module to calculate dissimilarity index distan module to generate similarity measures distinct module to display distinct values of variables distmatch module to perform distance matching based on latitudes and longitudes distplot module to generate distribution function plot distrate module to compute direct standardized rates with improved confidence interval divcat module to calculate five measures of diversity for multiple categories dlagif Module to Estimate Irving Fisher Arithmetic Distributed Lag Model dldqmodule to compute treatment effects under alternative Parallel-q assumptionsdlist module to list with variable labels dlogit2modules to compute marginal effects for logit, probit, and mlogitdmariano module to calculate Diebold-Mariano comparison of forecast accuracy dmerge module to merge datasets using a modification of Stata's merge dmexogxt module to test consistency of OLS vs XT-IV estimates dmout module to create difference-in-means tables do2screen module to display do-files in result window dolog modules to execute commands from a file with logging dologx modules to execute commands from a file with logging domdiag module to construct dominance diagrams domin module to conduct dominance analysis domme module to conduct dominance analysis with multiple equation models doparser module to look for dta-files used in do-files doseresponse module to estimate dose-response function through adjustment for the generalized propensity score doseresponse2 module to estimate generalized propensity score dotemplate module to creates templates for do-files dotex module to generate TeX log from do-file doub2flt module to change storage type of real variable doubleb module to compute Contingent Valuation using Double-Bounded Dichotomous Choice doubletofloat module to recast variables from double to float storage type doubmass module to draw double mass plot dpplot module for density probability plots dpredict module to produce dynamic forecasts for ARIMA(p,s,q) models dqd module to compute treatment effects under alternative Parallel-q assumptions drarea module to overlap two range area plots drcate module to estimate and plot conditional average treatment effect functions with uniform confidence bands using a doubly robust method drdecomp module to estimate Shapley value of growth and distribution components of changes in poverty indicators drm module to fit Sobel's Diagonal Reference Model (DRM) drmeta module for dose-response meta-analysis drmmws module to perform doubly-robust marginal mean weighting through stratification ds2 v6 module to describe variables in memory ds3 module to describe variables in memory ds5 module to describe variables in memory dsconcat module to concatenate a list of Stata data files into memory dsearch module to find variables with given variable label dseg module to compute decomposable multigroup segregation indexes dsginideco module to compute decomposition of inequality change into pro-poor growth and mobility components dsweight module to generate direct standardization weights dta2ddi module to convert Stata data to DDI standards dta2html module to generate HTML code to display a Stata dataset on the web dta2kml module to output a KML file from selected datapoints in a Stata dataset dta2md module to convert Stata system file to metadata dta2sav module to export in SPSS format dtalink module to implement probabilistic record linkage dtanotes module to add metadata as dataset notes dtapaper module to create an HTML datapaper dtastamp module to store current date and time in dataset characteristics dthaz module to compute discrete-time hazard and survival probability estimates dtobit2 module to estimate a tobit model with marginal effects at observed censoring rate dudahart module to calculate and graph Duda-Hart cluster stopping indices from distance matrix dummies function to create families of dummy variables dummies2 module to create indicator variables from categorical variable and vice versa dummieslab module to convert categorical variable to dummy variables using label names duncan module to calculate dissimilarity index dups module to identify and optionally remove duplicate observations durbinh module to calculate Durbin's h test for serial correlation dyadid module to perform Dyad ID matching dyads module to transform observations into dyads dynardl module to dynamically simulate autoregressive distributed lag (ARDL) models dynpandoc module creating dynamic documents using dynamic tags and pandoc dynsimpie module to examine dynamic compositional dependent variables dynsimplemodule to examine dynamic compositional dependent variables
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eaalogit module to estimate endogenous attribute attendance models eba module to perform extreme bound analysis ebalance module to perform Entropy reweighting to create balanced samples ebct module to perform entropy reweighting to create balanced samples for continuous treatments ebrowse module to to display variables in the Data Editor, ordered by varlist eclpci module to compute Exact and Approximate Confidence Limits for Poisson Counts eclplot module to generate estimates and confidence limits plots edm module to implement empirical dynamic modeling eealogitmodule to estimate endogenous attribute attendance modelsefetch_toolsmodule to retrieve genetic data from NCBIeffcon module to calculate confidence limits for effect size estimated from one or two samples from normal distribution effectsmodule to provide a graphical interface for estimation commandsefolder module to easily create folders and/or subfolders egen_inequal module providing extensions to generate inequality and poverty measures egenmisc module to provide various egen functions egenmore modules to extend the generate function egfr module to calculate estimated glomerular filtration rate (eGFR) egi module to calculate Ellison and Glaeser's index of geographical concentration egranger module to perform Engle-Granger cointegration tests and 2-step ECM estimation eitc module to compute U.S. Earned Income Tax Credit receipts elabel module to extend the label commands elapse module to calculate elapsed time in procedure elasticregress module to perform elastic net regression, lasso regression, ridge regression electoolmodule containing toolkit to analyze electoral dataelife module to model annual increments of life expectancy elixhauser module to calculate Elixhauser index of comorbidity ellip module to graph confidence ellipses (version 8) ellip6 module to plot confidence ellipses (version 6) ellip7 module to plot confidence ellipses (version 7) ellipticity module to compute optimal rank-based multivariate tests of elliptical symmetry and sphericity eltmle module to provide Ensemble Learning Targeted Maximum Likelihood Estimation email module to send emails from Stata via Python emailme module to facilitate sending mail on Windows systems emc module providing prefix command estimating contrasts for effect modifier values emh module to compute extended Mantel-Haenszel statistics encodefrom module to rename and encode variables using an external crosswalk enforce module to force variables to satisfy a set of accounting identities enlarge module to propagate constant values through group entropy module to compute Shannon, Renyi, HCT entropy & Hill numbers entropyetc module for entropy and related measures for categories eofplot module to plot coefficients or loadings after principal component or factor analysis eperiod module to calculate elapsed time between dates epiconf module to assess confounding effects in epidemiological studies epidatamodule Data entry system for use with Stata, SPSS, SAS, Excel, text formatsepimodels module to implement epidemiological models and simulations episens module for basic sensitivity analysis of epidemiological results episensrri module for basic sensitivity analysis for unmeasured confounders epiweek module to create epidemiological week and equivalent epidemiological year epresent module to present non-linear relationships in regression models with log or logit-link epsigr module to save graph in EPSF format in UNIX environment eqprhistogram module for equal probability histogram equation module to Output The Equation of a Regression er module to compute Esteban and Ray measure of polarization erate module to import up-to-date exchange rates for any currency pairs ereplace module to extend egen and egenmore to permit replacing erepost module to repost the estimation results eret2 module to save results in e() ersur module to calculate Elliott, Rothenberg & Stock DF-GLS unit root test statistic along with 1, 5 and 10% finite-sample critical values and associated p-values esetran module to transform estimates and standard errors in parmest resultssets esizereg module for computing the effect size based on a linear regression coefficient esli module to calculate the equation of a straight line est2tex module to create LaTeX tables from estimation results estout module to make regression tables estout1 module to export estimation results from estimates table estparm module to save results from a parmest resultsset and test equality estquant module to implement Quantile approach by Combes et al. estrat module to perform Endogenous Stratification for Randomized Experiments estsave module to save estimation results with current dataset estudy module to perform an event study estwrite module to store estimation results on disk etime module to time how long a program runs eurostatuse module to import data from Eurostat repository into Stata eurouse module to import data from Eurostat evalue module for conducting sensitivity analyses for unmeasured confounding in observational studies evalue_estat module for conducting postestimation sensitivity analyses of unmeasured confounding in observational studies evalues module to calculate E-values eventdd module to panel event study models and generate event study plots eventstudy module to perform event studies in finance eventstudy2 module to perform event studies with complex test statistics evhistplot module to produce event history plot ewmamodule to calculate exponentially weighted moving averageewreg module to estimate errors-in-variable model with mismeasured regressor exampleobs module to prints example observations examples module to show examples from on-line help files excel2latex module to convert Excel table to LaTeX table excelclean module to clean and integrate excel files excelcol module to convert a column index into a name of an Excel column excelsave module to provide a convenient way to export matched Stata datasets from a specified input directory (also including, if wanted, additionally recursively matched subsets of files within distinctly matched offspring-directories) to Excel-files expand_n module to expand dataset expandby module to duplicate observations by variable expandihlp module to expand the help file preprocessor directive for substituting repeated material in a given help file expgen module to duplicate observations sorted in original order with generated variables expl module to explore folders and files explist module to generate an exponentially-spaced list of numbers explorelabs module to explore the use of value labels in the dataset expy module to calculate the EXPY-index as proposed by Hausmann et al. (2007) extfunnel module to produce graphical augmentations to the funnel plot to indicate the potential impact of a new study on an existing meta-analysis extreme module to fit models used in univariate extreme value theory extremes module to list extreme values of a variable
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f_able module for the estimation of marginal effects with transformed covariates faam module to score Foot and Ankle Ability Measure fabplot module for plots for each subset with rest of the data as backdrop factext module to extract factor values from a label variable created by parmest factmerg module to merge a list of factors to create string variables factorn module to calculate the factors of an integer factortest module to perform tests for appropriateness of factor analysis factref module to insert new observations with reference values for factors fagan module for Fagan's Bayesian nomoigram fairlie module to generate nonlinear decomposition of binary outcome differentials far5 module to compute floating absolute risk for Cox and conditional logit regression fastcd module to automate changing directories fastgini module to calculate Gini coefficient with jackknife standard errors fastreshape module for efficient implementation of reshape for big datasets fastxtile module to generate a variable of quantile categories favplots module for formatted added-variable plot(s) fbar module to produce bar charts showing frequencies of categorical variables fbep Module to Estimate Financial Break-Even Point Analysis (BEP) fcinstabilitymodule to perform forecast comparison and forecast rationality testsfcstats module to compute time series forecast accuracy statistics fdfilter module to implement Corbae-Ouliaris frequency domain filter to time series data fdta module to change contents of string variables fedit module to find and edit text file from within Stata feldti module to compare two independent coefficients of reliability fese module to calculate standard errors for fixed effects fgt_ci module to calculate and decompose Foster–Greer–Thorbecke (and standard) concentration indices fgtest module to Compute Farrar-Glauber Multicollinearity Chi2, F, t Tests fhsae module to fit an area level Fay-Herriot model fieldarea module to compute the area of an irregularly shaped plot from GPS coordinates of its vertices fieller module to calculate confidence intervals of quotients of normal variates filei module to write lines to end or beginning of text files filelist module to recursively search directories for files filesearch module to recursively list files matching to a pattern or regular expression fileutils module for faster file navigation filtertrace module to trace filter or contingency questions find module to find matching strings across files in the current directory finddup module to find non-unique values or observations findname module to list variables matching name patterns or other properties findsysmis module to find system missing values in a list of variables findunique module to display combinations of unique identifiers in a dataset. findval module to find a specific value firstdigit module to analyse first digits of numeric variables firthfit module to compute model fit for Firth's logit models firthlogit module to calculate bias reduction in logistic regression fiscal_impoverishment module to estimate fiscal impoverishment and fiscal gains to the poor fiskfit module to fit a Fisk distribution by ML to unit record data fitint module to fit generalized linear model and test two-way interactions fitmacro module to evaluate fit of loglinear GLM Poisson models fitstat module to compute fit statistics for single equation regression models fitstat_ers module to compute goodness of fit statistics for Rasch model fixsort module to sort variables and align in sorted order, with others fixed flex module for flexible pseudo maximum likelihood estimation of models for doubly-bounded data floattolong module to recast variables from float to long storage type flowchart module to generate subject disposition flow diagram figures in LaTeX using PGF/TikZ to include in manuscripts flower module to draw sunflower plots fmiss module to identify variables with problematic missing values fmlogit module fitting a fractional multinomial logit model by quasi maximum likelihood fmm module to estimate finite mixture models fmmicmodule for postestimation with finite mixture modelsfmmlc module for postestimation with finite mixture models fndmtch module to find matching values fndmtch2 module to find matching values for one variable in another fodstrmodules to handle fractional day calculationsfor211 modules to document features of for and extend the for command forec_instabmodule to perform forecast comparison and forecast rationality testsforest module to visualize results from multiple regressions on a single independent variable forfile module to execute command for each matching file fprank module to compute Two-Sample Fligner-Policello Robust Rank Order Test fpref module to add prefix or suffix to filenames fpromodule to compute Financial Protection Indicators for Health Expendituresfpropermodule to get proper case for foreign names in variablesfpuhcmodule to compute Financial Protection Indicators for Universal Health Coveragefqreg module to estimate quantile regression for non-negative data with a mass-point at zero and an upper bound fracdiff module to generate fractionally-differenced timeseries fracdydx module to evaluate derivatives of fractional polynomials fracirf module to compute impulse response function for fractionally-integrated timeseries fraclogit module to estimate fractional logit model fractal module to generate fractals fractileplot module for smoothing with respect to distribution function predictors fragility module to compute the fragility index and quotient frameappend module to append frames framingham module for calculating the Framingham 10-year Cardiovascular Disease Risk Prediction framingham30 module to calculate 30-year risk of cardiovascular disease frcount module to estimate fractional response model under the presence of count endogeneity and unobservable heterogeneity fre module to display one-way frequency table freduse module to Import FRED (Federal Reserve Economic Database) data fren module to batch rename files (Windows only) freplace module to batch convert ASCII text or binary patterns in files freqindex module to generate an index of terms from string variable frm module to estimate and test fractional regression models frontier_teci module to generate technical efficiency confidence intervals frontierhtail module to estimate stochastic production frontier models for heavy tail data fs module to show names of files in compact form fsdet module to compute Factor score determinacy coefficient fsregmodule for forward search regressionfsum module to generate and format summary statistics fsx module to show names of files in compact form (Unix-friendly defaults) ftest module comparing two nested models using an F-test ftocci module to back calculate the conventional confidence intervals from the floated confidence intervals ftools module to provide alternatives to common Stata commands optimized for large datasets ftrans module to batch convert file formats ftree module to save directory information in text file (Windows only) full_palette module to display color palette fulltab module to generate 'full tables' which can be stacked into matrices funnelcompar module to perform funnel plot for institutional comparison funnelperform module to produce funnel plot for institutional comparison fuzzydid module to estimate Fuzzy Difference-in-Difference Designs fvfix module to compute the future value of a series of equal payments (cash flows) fview module to find and view a file fvprevar module to extend fvrevar generating permanent result variables fvregen module to regenerate factor variables in a parmest output dataset fvvar module to compute the future value of a series of payments (cash flows) fxbcr Module to Estimate Benefit-Cost Ratio (BCR)
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g538schemes module to provide graphics schemes for http://fivethirtyeight.com gammodule for generalised additive modelsgamet module to perform game-theoretic calculations gammafit module to fit a two-parameter gamma distribution gammasym module to compute the value of the symmetrical gamma function gausshermite module to estimate integrals using Gauss Hermite quadratures gb2fit module to fit Generalized Beta of the Second Kind distribution by maximum likelihood gb2lfit module to fit Generalized Beta of the Second Kind distribution by maximum likelihood (log parameter metric) gb2reg module to perform Regression with a GB2 Error Term gbgfit module to fit a Generalized Beta (Type 2) distribution to grouped data via ML gboxplot module to create Box plot for skewed or heavy-tailed distributions gby module to subset graphs and calculate in the same output gcause module to perform Granger causality tests gciget module to read Global Competitiveness Index data into Stata gcode module to download Google geocode data gconc module to compute generalized measures of concentration gdecomp module to compute decomposition of outcome differentials after nonlinear models gdsum module to summarize grouped data ge_gravity module to solve a simple general equilibrium one sector Armington-CES trade model geekel2d module to estimate the parameters of unidimensional and bidimensional IRT models geivars module to calculate Generalized Entropy inequality indices gen_tail module to work with indicator observations genass module to perform Genetic Case-control Association tests geneigen module to calculate eigenvalues of a real general matrix genfreq module to produce a frequency distribution for a variable gengroup module to produce groups of individuals genhwcci module to calculate Hardy-Weinberg equilibrium test in case-control studies genicv module to generate interaction between continuous (or dummy) variables genidseq module for generating a numeric sequence to represent long identifiers geninteract module to generate N-way interaction terms genqreg module to perform Generalized Quantile Regression genscore module to generate a score genspec module to implement a General-to-Specific modelling algorithm genstack module to generate Twoway Stacked Charts genstest module to perform generalized S tests for models in the generalized method of moments framework gentrun module to generate truncated normal variate genvars module to generate covariate patterns geo2xy module to convert latitude and longitude to xy using map projections geochart module to create interactive map web pages from Stata data geocircles module to create circles defined by geographic coordinates geocode module to geocode data geocode_ip module to geocode IP addresses geocodehere module to provide geocoding relying on Nokia’s Here Maps API geocodeopen module to geocode addresses using MapQuest Open Geocoding Services and Open Street Maps geodist module to compute geographical distances geodist2 module to calculate straight line distance between two coordinates geoinpoly module to match geographic locations to shapefile polygons geonear module to find nearest neighbors using geodetic distances georoute module to calculate travel distance and travel time between two addresses or two geographical points getdata module to import SDMX data from several providers getfilename2 program for handling filename specifications getmstatistic module to Quantify Systematic Heterogeneity in Meta-Analysis getmxdata module to import Mexican economic data getprime module to get the prime number closer to the specified number getregstats module for computing all values in a regression table when only the coefficient and one other statistic is available gets module to implement a General-to-Specific modelling algorithm getsymbols module to collect and integrate one or more series from Quandl.com, Google Finance, Yahoo Finance, and Alpha Vantage gevfit module to module to fit a generalized extreme value distribution by maximum likelihood gformula module to implement the g-computation formula for estimating causal effects in the presence of time-varying confounding or mediation ggt module to implement Geweke, Gowrisankaran, and Town Model Quality Estimator ggtax module to identify the most suitable GG family model ggtaxonomy module to identify the most suitable GG family model ghansen module to perform Gregory-Hansen test for cointegration with regime shifts ghistcum module to graph histogram and cumulative distribution ghk2 module (enhanced Mata function) to implement the Geweke-Hajivassiliou-Keane multivariate normal simulator ghsurv module for the estimation of survival model using repeated cross-sectional data ghxt module to compute Panel Groupwise Heteroscedasticity Tests ginidesc module to compute Gini index with within- and between-group inequality decomposition giniinc module for measuring inequality from incomplete income and survival data ginireg module for Gini regression gintreg module to perform Generalized Interval Regression gipf module to graphically display a log-linear model git module to manage git repositories givgauss2 module to estimate generalized two-parameter inverse Gaussian regression glcurve module to derive generalised Lorenz curve ordinates glcurve5 module to derive generalised Lorenz curve ordinates with unit record data (Stata 5 or 6) glcurve7 module to derive generalised Lorenz curve ordinates with unit record data (version 7) glgamma2 module to estimate generalized two-parameter log-gamma regression gllamm program to fit generalised linear latent and mixed models glmcorr module for correlation measure of predictive power for GLMs glmdeco module to compute Detailed Decomposition of Average Outcome Differentials in Generalized Linear Models glst module for trend estimation of summarized dose-response data gmap module to create heatmaps for the web, using java api developped by google gmci module to calculate geometric means and their confidence intervals gmemultinomial module to fit multinomial models using generalized maximum entropy gmlabvposmodule providing egen function for label positioninggmmcovearn module to compute GMM estimates of the Covariance Structure of Earnings gnbstrat module to estimate Generalized Negative Binomial with Endogenous Stratification gnpoisson module to estimate generalized Poisson regression goelevation module to compute elevation for latitude and longitude from Google gologit module to estimate generalized ordered logit models gologit2 module to estimate generalized logistic regression models for ordinal dependent variables gologit29 module to estimate generalized logistic regression models for ordinal dependent variables googleplaces module to return search results from Google Places goprobit module to estimate generalized ordered probit models gpfobl module to perform rotation after factor / principal components gphepssj module to translate Stata graph files to .eps as used for The Stata Journal gphudak module to estimate long memory in a timeseries gprefscode module to report on graphics preferences gpreg module to estimate regressions with two dimensional fixed effects gpreset module to reset preferences for a custom graphics scheme to their original values gpscore2 module to estimate the parameters of the conditional distribution of the treatment via GLM grand modules to compute grand mean and dummies for differences grand2 module to compute an estimate of the grand mean/intercept and differences graph3d module to draw colored, scalable, rotatable 3D plots graphbinary module to plot explanatory variables vs binary outcome graphexportpdf module to produce PDF graphics on non-Windows systems graphlog module to convert log files to PDF documents with embedded graphs using LaTeX grby program to draw bar charts for each covariate pattern grcomb module to create and combine several single graphs into one grcompare module to make group comparisons in binary regression models grep module to search within your datasets for keywords grexport module to produce a resultset of graph contents grfreq module to plot proportion of one variable by categories of another grlogit module to plot logit of a variable by categories of another variable grnote module to add text and lines to graphs group1d module for grouping or clustering in one dimension group2hdfe module to compute number of restrictions in a linear regression model with two high-dimensional fixed effects group3hdfe module to compute number of restrictions in a linear regression model with three high-dimensional fixed effects group_id module to group identifiers when values for specified variables match group_twoway module to group observations by the connected components of two variables groupclmodule to estimate grouped conditional logit modelsgroupdist module to generate within-group minimum and maximum distances groupfunction module to replace several basic collapse functions grouplabs module to create value labels for grouped variables groups module to list group frequencies groupseqmodule providing functions to determine group sequential trial designsgrpdf module to produce PDFs from memory graphs grqreg module to graph the coefficients of a quantile regression grstest module to implement the Gibbons et al. (1989) test in a single-factor or multi-factor setting grstest2 module to implement the Gibbons, Ross, Shanken (1989) test grstyle module to customize the overall look of graphs grtext module to insert nonstandard characters in graph text grubbs module to perform Grubbs' test for outliers 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 gs2slsarxt module to estimate Generalized Spatial Panel Autoregressive Two Stage Least Squares Cross Sections 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 gsa module to perform generalized sensitivity analysis gsample module to draw a random sample gsdata module to download high frequency data for a list of stock in ShangHai or ShenZhen markets gsgroup module to create a group variable and optionally an output dataset for a gsort key gsreg module to perform Global Search Regression gsum module to calculate summary statistics for grouped data gtools module to provide a fast implementation of common group commands gumbelfit module to fit a two-parameter Gumbel distribution guttmanl module to produce Guttman lower bound reliability coefficients gvselect module to perform best subsets variable selection gwhet module to perform test for groupwise heteroskedasticity gzipuse module to use and save compressed dta files and compress .dta files gziputil module to provide access to gzipped files gzsave module to save and use datasets compressed by gzip
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hadrilm module to perform Hadri panel unit root test haif module to compute Homoskedastic Adjustment Inflation Factors for model selection halfmodule to compute homoskedastic adjustment inflation factors for model selectionhallt-skewt-skewt module to compute skewness-adjusted bootstrap t-statisticshamiltonfilter module to calculate the Hamilton Filter for a Single Time Series or for a Panel Dataset hammock module to implement Hammock plot, visualizing categorical (and continuous) data hangroot module creating a hanging rootogram comparing an empirical distribution to the best fitting theoretical distribution hansen2 module for Hansen's test for parameter instability hapblock module to perform haplotype analysis to identify the edges of haplotype blocks hapipf module to perform haplotype analysis harmby module to harmonize values of variables within by-groups hausman module to compute a Hausman test statistic (version 5) hbar module to generate horizontal bar charts hbox module to draw horizontal box plots hcaccprox module to compute a hierchical cluster analysis with conditional measures of proximity hcavar module to perform Hierarchical Clusters Analysis of variables hcnbreg module to estimate Heterogeneous Canonical Negative Binomial Regression hdfe module to partial out variables with respect to a set of fixed effects hdquantile module for Harrell-Davis estimator of quantiles heabs module to calculate the ICER and Net Benefit for up to two datasets head module to print the head observations (first observations in data set) heatmapgraph module to measure the evolution of risks to financial stability over the financial cycle heatplot module to create heat plots and hexagon plots heckprob2module to run heckprob and svyheckprob with d2 evaluatorheckroc module to plot ROC curves hegy4 module to compute Hylleberg et al seasonal unit root test heterogi module to quantify heterogeneity in a meta-analysis hetop module for estimating heteroskedastic ordered probit models with ordered frequency data hetprob module to estimate heteroskedastic probit model hetred module to implement heterogeneity reducing algorithms hettreatreg module to compute diagnostics for linear regression when treatment effects are heterogeneous hgclg module to estimate geometric-complementary log log hurdle regression hglogit module to estimate geometric-logit hurdle regression hhi module to compute Herfindahl index hhi5 module to generate Herfindahl-Hirschman index (HHI) variables hildasetup module to create a longitudinal dataset for the Household, Income and Labour Dynamics in Australia (HILDA) Survey himap module to create heatmaps for the web, using java api developed by highcharts himatrix module to highlight selected elements of scatterplot hireg module for hierarchial regression hist3 module to draws histograms for intervals of different size histbox module to generate histogram with boxplot historaj module to produce histogram with descriptive statistics histplot module to produce histogram for frequency distribution hl module to compute Hodges and Lehman (1963) robust measure of location hlist module for horizontally listing values hlm module to invoke and run HLM v6 software from within Stata hlp2html module to translate a list of Stata help files to HTML hlp2pdf module to create PDF or PostScript from Stata help file hlp2winpdf module to convert Stata's help files into pdf in Windows environment hlpdir module to find location(s) of help file hlpedit module to edit help file in do-file editor hmap module to graph a heatmap hnbclg module to estimate negative binomial-complementary log log hurdle regression hnblogit module to estimate negative binomial-logit hurdle regression hnbreg1 module to estimate Heterogeneous linear negative binomial regression (NB-1) hodgesl module to perform Hodges-Lehmann aligned rank test hoi module to compute Human Opportunity Index hoishapelymodule to perform Shapley Decomposition of the Human Opportunity Indexhoishapley module to perform Shapley Decomposition of the Human Opportunity Index holsti module to compute Holsti intercoder reliability coefficients hotdeck module to impute missing values using the hotdeck method hotdeckvar module for hotdeck imputation hotvalue module to generate scales with missing values conditionally imputed how_many_imputations module to determine required number of imputations hpc module to perform specification test to discriminate between models for non-negative data with many zeros hpclg module to estimate Poisson-complementary log log hurdle regression hpfilter module to compute one-sided Hodrick-Prescott filter hplogit module to estimate Poisson-logit hurdle regression hplot module to generate horizontal plots hprescott module to implement Hodrick-Prescott filter for timeseries data hrimvol module providing simple option implied volatility calculator hshaz module to estimate discrete time (grouped data) proportional hazards models hsmode module to calculate half-sample modes hte module to perform heterogeneous treatment effect analysis htmlcb module to write a codebook as an html file htmltab2stata module to load html tables into Stata htmltit module to generate a document title variable for a HTML filename variable htmlutil module to provide utilities for writing Hypertext Markup Language (HTML) files hue module to produce graphical display of named Stata colors hummels module to compute intensive and extensive trade margins hutchens module to calculate the Hutchens `square root' segregation index with optional decompositions by subgroup
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iati module to import International Aid Transparency Initiative data ic module to compute measures of interaction contrast (biological interaction) icc23 module that computes models 2 and 3 of the intra-class correlation iccconf module to compute a confidence interval for an intraclass correlation (ICC) iccvar module to calculate intraclass correlation (ICC) after xtmixed icdpic module to provide methods for translating International Classification of Diseases (Ninth Revision) diagnosis codes into standard injury categories and/or scores ice module for multiple imputation of missing values icet module to perform multiple imputation of covariates icio module for Economic Analysis with Inter-Country Input-Output tables icomp module to calculate model selection information criteria idonepsu module for dealing with strata that have singleton PSUs ie_rate module to conduct age, period, and cohort (APC) analysis of tabular rate data using the intrinsic estimator iefieldkit module providing Stata commands for primary data collection and cleaning ietoolkit module providing commands specially developed for Impact Evaluations ifin module to generate a local containing an if statement to select multiple values ifwins module to subset a dataset by 'if exp' before subsetting by 'in range' igeintb module to estimate intergenerational income elasticities (IGEs) with multiple sets of instruments igencox module to fit generalized Cox models igenerate module to apply a variety of coding schemes, including weighted effect coded interactions igeset module to estimate intergenerational income elasticities (IGEs) with a single set of instruments igesetci module to compute confidence intervals for partially identified intergenerational income elasticities (IGEs) igini module to perform Gini index decomposition by individual and group igini1 module to perform Gini index decomposition by individual and group ihstrans module for generating inverse hyperbolic sine (IHS) transformed variables iia module to test the iia assumption in conditional logistic regression (version 5) imbalance module to check covariate imbalance before and after matching "- imperfectiv module to estimate bounds with ""Imperfect Instrumental Variables"" (Nevo and Rosen, 2012)" importsav module to convert SPSS file to Stata imputeitems module to impute missing data of binary items imputemok module to impute binary data by a Mokken scale imputerasch module to impute binary data by a Rasch model imvol module to compute Implied Volatility in Black-Scholes European Option Pricing Model inccat module to concatenate one or more input files to an output file inserting additional input files indeplist module to returns lists of independent variables from the active estimation command index Module to Estimate Price, Quantity, and Value Index Numbers indexplot module for index plots of estimation results ineq module to calculate measures of inequality ineqdec0 module to calculate inequality indices with decomposition by subgroup ineqdecgini module to estimate Gini coefficient with optional decomposition by subgroups ineqdeco module to calculate inequality indices with decomposition by subgroup ineqfac module to calculate inequality decomposition by factor components ineqord module to calculate indices of inequality and polarization for ordinal data ineqrbd module to calculate regression-based inequality decomposition inequal2 module to compute measures of inequality inequal7 module to compute measures of inequality ingap module to insert gap observations into a data set before output by listtex inorm module to perform multiple imputation using Schafer's method insheetjson module for importing tabular data from JSON sources on the internet insingap module to insert a single gap observation at the top of each by-group insob module to insert empty observations int_utils module to perform interval computations in Mata intcens module to perform interval-censored survival analysis inteff3 module to compute partial effects in a probit or logit model with a triple dummy variable interaction term integrate module to perform one-dimensional integration integrate_aq module to do adaptive quadrature for integrals interactplot module to generate plots for interaction terms of multiplicative regressions interflex module to estimate multiplicative interaction models with diagnostics and visualization intext module to read text files into string variables intgph module to interpret interaction effects and present graphically intreg2module to perform interval regression with multiplicative heteroskedasticityintsolver module providing functions and tools for finding solutions to nonlinear equation systems in Mata intterms module to enumerate all indicators for all intersections of two categorical variables invcdf module to invert the cumulative distribution function invcise module to compute standard errors using the inverse confidence interval method invdesc module to change variable attributes using a describe or descsave resultsset invgammafit module to fit a two-parameter inverse gamma distribution invgaussfit module to fit a two-parameter inverse Gaussian distribution iop module to to compute different measures of inequality of opportunity for dichotomous, ordered and continuous outcome variables iot module to estimate Leontief Input-Output Table ipdforest module to produce forest plot for individual patient data IPD meta-analysis (one stage) ipdmetan module for performing two-stage IPD meta-analysis ipdpower module to perform simulation based power calculations for mixed effects modelling ipf module to perform log-linear modelling using Iterative Proportional Fitting ipfraking module to perform iterative proportional fitting, aka raking ipfweight module to create adjustment weights for surveys ipshin module to perform Im-Pesaran-Shin panel unit root test iquantile module to calculate interpolated quantiles ira module to calculate rwg and related interrater agreement indices irax module to perform isotonic regression analysis irr module to calculate the (periodic) internal rate of return for a series of periodic cash flows. irrepro module to produce a simulation of irreproducible results irscharities module to import and format IRS Exempt Organization Business Master File Data isa module to perform Imbens' (2003) sensitivity analysis isco module to recode 4 digit ISCO-68 occupational codes iscogen module to translate ISCO codes iscooesch module to recode ISCO codes into Oesch class scheme isko module to recode 4 digit ISCO-88 occupational codes isograph module to compute inequality over logit ranks of social hierarchy isopoverty module to generate data for Inequality-Poverty and Iso-Poverty curves istdize module to generate indirectly standardized rates using a standard population isvar module to filter names into variable names and others itsa module to perform interrupted time series analysis for single and multiple groups itsamatch module to perform matching in multiple group interrupted time-series analysis itsaperm module to perform permutation tests for matched multiple group interrupted time series analysis itsarand module for conducting randomization tests for single-case and multiple-baseline AB phase designs itsp_adomodule to accompany Introduction to Stata Programming bookitspower module for simulation based power calculations for linear interrupted time series (ITS) designs ivactest module to perform Cumby-Huizinga test for autocorrelation after IV/OLS estimation ivcheck module to choose between OLS and contaminated IV ivendog module to calculate Durbin-Wu-Hausman endogeneity test after ivreg ivgauss2 module to estimate two-parameter log-inverse Gaussian regression ivglog module to estimate inverse Gaussian distribution-log link MLE model ivgmm0 module to perform instrumental variables via GMM ivgravity module containing method-of-moment IV estimators of exponential-regression models with two-way fixed effects from a cross-section of data on dyadic interactions and endogenous covariates ivhettest module to perform Pagan-Hall and related heteroskedasticity tests after IV ivpois module to estimate an instrumental variables Poisson regression via GMM ivprob-ivtobit-ivtobit modules to estimate instrumental variables probit and tobitivprob-ivtobit6-ivtobit6 modules to estimate instrumental variables probit and tobitivqreg2 module to provide structural quantile function estimation ivreg2 module for extended instrumental variables/2SLS and GMM estimation ivreg210 module for extended instrumental variables/2SLS and GMM estimation (v10) ivreg28 module for extended instrumental variables/2SLS and GMM estimation (v8) ivreg29 module for extended instrumental variables/2SLS and GMM estimation (v9) ivreg2h module to perform instrumental variables estimation using heteroskedasticity-based instruments ivreg2hdfe module to estimate an Instrumental Variable Linear Regression Model with two High Dimensional Fixed Effects ivreg_ss module to compute confidence intervals, standard errors, and p-values in an IV regression in which the excluded instrumental variable has a shift-share structure ivreghdfe module for extended instrumental variable regressions with multiple levels of fixed effects ivregress2 module to export first and second-stage results similar to ivregress ivreset module to perform Ramsey/Pesaran-Taylor/Pagan-Hall RESET specification test after IV/GMM/OLS estimation ivrobustmodule to perform weak instrument test for a single endogenous regressor in TSLS and LIMLivtreatreg module to estimate binary treatment models with idiosyncratic average effect ivvif module to report variance inflation factors after IV
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jarowinkler module to calculate the Jaro-Winkler distance between strings jb module to perform Jarque-Bera test for normality on series jb6 modules to perform Jarque-Bera test for normality jc module to dynamically load and call Java plugins jformat module to justify formats for a list of variables jmpierce module to perform Juhn-Murphy-Pierce decomposition jmpierce2 module to compute trend decomposition of outcome differentials jnsn module to fit Johnson distributions johans module to perform Johansen-Juselius ML estimates of cointegration joinvars module to join values of variables jonter module to perform Jonckheere-Terpstra test jrule module to detect model misspecifications in SEM jsonio module for I/O operations on JSON data
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kalpha module to compute Krippendorff's Alpha-Reliability kanom module to estimate Krippendorff's alpha for nominal variables kapgof module to compute confidence intervals for the kappa statistic kaplansky module to graph examples of distributions of varying kurtosis kappa2 module to produce Generalizations of weighted kappa for incomplete designs kappaetc module to evaluate interrater agreement kapprevi module to plot the dependence of kappa statistic on true prevalence kaputilmodule to generate confidence intervals and sample size calculations for the kappa-statistickatego module to split a continuous numerical variable in custom categories kdbox module to generate kernel density plot with boxplot kdens module for univariate kernel density estimation kdens2 module to estimate bivariate kernel density kdmany module to perform kernel density estimation for several variables keeporder module to keep and order a set of variables keepvar module to keep a list of variables in the order of their appearance in the list kernel module to compute various kernels kernreg1 module to compute kernel regression (Nadaraya-Watson estimator) kernreg2module to compute kernel regression (Nadaraya-Watson estimator)keyby module to key the dataset by a variable list keyplot module to generate scatter plot with keys in user-chosen positions kfoldclass module for generating classification statistics of k-fold cross-validation for binary outcomes khb module to decompose total effects into direct and indirect via KHB-method kitchensink module to return the model with the highest number of statistically significant predictors kmatch module module for multivariate-distance and propensity-score matching, including entropy balancing, inverse probability weighting, (coarsened) exact matching, and regression adjustment kmest module to compute Kaplan-Meier survival probabilities as estimation results knapsack module to solve the knapsack problem kobo2stata module to create labelled Stata datasets from KoboToolbox konfound module to quantify robustness of causal inferences kountry module to standardize country names across various datasets kpss module to compute Kwiatkowski-Phillips-Schmidt-Shin test for stationarity kr20 module to calculate Kuder-Richardson coefficient of reliability krippalpha module to compute Krippendorff's alpha intercoder reliability coefficient krls module to perform Kernel–Based Regularized Least Squares ksi module to compute Krugman specialization index kssur module to calculate Kapetanios, Shin & Snell unit root test statistic along with critical values and p-values ksur module to calculate Kapetanios & Shin unit root test statistic along with finite-sample critical values and p-values kwallis2 module to perform Kruskal-Wallis Test for equality of populations kwstat module to compute kernel weighted sample statistics
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labcenswdi module to automatically manage datasets obtained from US Census 2000 and World Development Indicators databases labeldatasyntax module to produce syntax to label variables and values, given a data dictionary labellacking module to report numeric variables with values lacking value labels labellist module to list value labels labelmiss module to label missing data labelsof module to obtain a list of labeled values labelutilprograms to create multiple value labelslabgen module to generate or replace variables with definitions in variable labels lablist module to list value labels (if present) for one or more variables labmatch module to find observations by label values labmm module to modify multiple value labels simultaneously labmv module to change numeric values to extended missing values preserving value labels labone module to label variables after import excel labrec module to recode variables according to value label labsort module to recode a grouping variable according to a group statistic and reorder its value labels labsummmodule to generate summary table with variable labelslabundef module to list undefined value labels attached to variables in the current dataset labup module to module to order/move variables based on label contents labutilmodules for managing value and variable labelslabutil2 module to manage value and variable labels labvalch3 module to change value labels labvalcl module to clear value labels of null strings labvalpool module to change value labels labvars module to attach a list of labels to varlist lambda module for Goodman and Kruskal's lambda measures for two-way tables landemets module to compute boundaries for group sequential clinical trials using alpha spending functions laplacereg module to perform Laplace regression for censored data lars module to perform least angle regression lasagna module to produce lasagna plots lassopack module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation lastupto module to collapse a dataset to have 1 observation for each of a list of X-values latab module to generate LaTeX output from tabulate lbpower module to calculate approximate power (or sample size) for longitudinal studies with binary response and two equally sized treatment groups lclogit module to fit latent class conditional logit models via EM algorithm lclogit2 module to estimate latent class conditional logit models lcmc module to estimate latent class missing covariate model for continous main response, ordinal covariate with missing values, and informative selection ldecomp module decomposing the total effects in a logistic regression into direct and indirect effects ldtest module to compute Lorenz Dominance tests leanout module to produce lean output formatting for estimation results leebounds module for estimating Lee (2009) treatment effect bounds leftalign module to left-align (or right-align) variables levels module to report distinct levels of integer or string variable levene module to test for equal population variances levinlin module to perform Levin-Lin-Chu panel unit root test levpredict module to compute log-linear level predictions reducing retransformation bias lfk module to compute LFK index and Doi plot for detection of publication bias in meta-analysis lfsum modules to describe variables located by name fragments lgamma2 module to estimate two-parameter log-gamma regression lgraph module to draw line graphs with optional error bars libd3 module providing D3js Mata library libhtml module providing an object oriented implementation of HTML in Mata libjson module to provide Mata class library for obtaining and parsing JSON strings into object trees lincheck module to graphically assess the linearity of a continuous covariate in a regression model lincom2 module to compute multiple linear combinations lincomest module to generate linear combinations of estimators saved as estimation results linequate module to calculate linear equating constants using the Tucker and Levine Methods linkplot module for linked (connected) scatter plots lintrend module to graph observed proportions or means for a continuous or ordinal X variable linuxlsd1 module to create a dataset of file records from the output of a Linux ls -d1 command linuxlsdlmodule to create a dataset of file records from the output of a Linux ls -d1 commandlisrelinput module to generate input for pasting into LISREL listmiss module to analyse missing values related to an estimation command listsome module to list a (possibly random) sample of observations listtab module to list variables as rows of a TeX, HTML or word processor table listtex module to list variables as rows of a TeX, HTML or word processor table listutil modules to manipulate lists of words ljs module to left-justify string variables for printing lmabg Module to compute OLS Autocorrelation Breusch-Godfrey Test at Higher Order AR(p) lmabg2 Module to Compute 2SLS-IV Autocorrelation Breusch-Godfrey Test at Higher Order AR(p) lmabgnl module to compute NLS Autocorrelation Breusch-Godfrey Test at Higher Order AR(p) lmabgxt module to compute Panel Data Autocorrelation Breusch-Godfrey Test 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) lmabpg module to compute OLS Autocorrelation Breusch-Pagan-Godfrey Test at Higher Order AR(p) lmabpg2 Module to Compute 2SLS-IV Autocorrelation Breusch-Pagan-Godfrey Test at Higher Order AR(p) lmabpgnl Module to Compute NLS Autocorrelation Breusch-Pagan-Godfrey 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) lmadurm2 module to compute 2SLS-IV 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) lmadwxt module to compute Panel Data Autocorrelation Durbin-Watson Test 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) lmavon2 Module to Compute 2SLS-IV Autocorrelation Von Neumann Ratio 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 lmawxt Module to Compute Panel Data Autocorrelation Wooldridge Test lmaz module to compute OLS Autocorrelation Z Test at Higher Order AR(p) lmaznl Module to Compute NLS 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 lmdi module to compute Logarithmic Mean Divisia Index (LMDI) Decomposition 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 lmharch2 Module to Compute 2SLS-IV Heteroscedasticity Engle (ARCH) Test lmharchnl Module to Compute NLS Heteroscedasticity Engle (ARCH) Test lmharchxt Module to Compute Panel Data Heteroscedasticity Engle (ARCH) Test lmhcw Module to Compute OLS Heteroscedasticity Cook-Weisberg Test lmhcw2 Module to Compute 2SLS-IV Heteroscedasticity Cook-Weisberg Test lmhcwnl module to compute NLS Heteroscedasticity Cook-Weisberg Test lmhcwxt Module to Compute Panel Data Heteroscedasticity Cook-Weisberg Test lmhgl module to Compute Glejser Lagrange Multiplier Heteroscedasticity Test for Residuals after OLS Regression lmhgl2 Module to Compute 2SLS-IV Heteroscedasticity Glejser Test lmhglnl module to compute NLS Heteroscedasticity Glejser Test lmhharv module to Compute Harvey Lagrange Multiplier Heteroscedasticity Test for Residuals after OLS Regression lmhharv2 Module to Compute 2SLS-IV Heteroscedasticity Harvey Test 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 lmnad2 Module to Compute 2SLS-IV Non Normality Anderson-Darling Test lmnadnl Module to Compute NLS 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 lmndp2 module to compute 2SLS-IV 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 lmngry2 Module to Compute 2SLS-IV Non Normality Geary 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 lmnjbxt Module to Compute Panel Data 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 lmnwhite2 Module to Compute 2SLS-IV White IM Non Normality Test lmnwhitenl module to compute NLS Non Normality White Test lmnwhitext module to compute Panel Data Non Normality White Test lmoments module to generate L-moments and derived statistics lms module to perform least median squares regression fit lmsrd module to compute Spurious Regression Diagnostic after OLS Regression localp module for kernel-weighted local polynomial smoothing locpr module for semi-parametric estimation loevh module to compute Guttman errors and Loevinger H coefficients log2do2 module to convert log file to do file log2html module to produce HTML log files log2markup module to transform a Stata text log into a markup document logitcprplot module to graph component-plus-residual plot for logistic regression logitfe module to compute analytical and jackknife bias corrections for fixed effects estimators of panel logit models with individual and time effects logithetm module to estimate Logit Multiplicative Heteroscedasticity Regression lognfit module to fit lognormal distribution by maximum likelihood logout module to convert log or ASCII files into various output formats logpred module to calculate logistic regression probabilities logtest module to test significance of a predictor in logistic models lomackinlay module to perform Lo-MacKinlay variance ratio test lomodrs module to perform Lo R/S test for long range dependence in timeseries longch module to identify how many records satisfy a condition longplot module to produce exploratory plot for longitudinal data longshape module to reshape long (limited alternative version) looclass module for generating classification statistics of Leave-One-Out cross-validation for binary outcomes loocv module to perform Leave-One-Out Cross-Validation lookfor2 module to search for string in variable names, variable labels, value labels, and notes lookfor_all module to search for variables/patterns in .dta files lookfor_val module to search the current dataset for values that match a specified pattern lookforit module to search variable names and labels for some string or strings loopplot modules to generate scatter plots with loops lorenz module to estimate and display Lorenz curves and concentration curves louvain module to find communities in weighted graph lowyseattlemodule for managing settings and recompilinglowyseattleamodule for tables, statistics, data management, outputlowyseattlebmodule for creating, transforming, labeling, variableslprplot module to produce logistic regression partial residual plots lrchg module to calculate change in coefficients between logistic models lrdrop1 module to calculate likelihood-ratio test after dropping one term lrmatx module to make logistic regression estimates available lrplot module to plot coefficients from a logistic regression lrseq module to calculate sequential likelihood-ratio test after model estimation lrutil modules providing utilities for logistic regression lsacsetup module to create a longitudinal dataset for Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) lstackmodule to stack variables with labelled _stacklstrfun module to modify long local macros ltable2module to generate life tables for rare eventsltimbimata module containing six general-purpose Mata functions luvain module to find communities in weighted graph lvalues module for letter value calculation lvr2plot2 module to produce leverage versus squared residual plot with Cook's D lxpct_2 module to calculate multistate life expectancies
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m_statsmodule to implement interpoint distance distribution analysismac_unab module to unabbreviate Global Macro Lists madfuller module to perform Dickey-Fuller test on panel data mads module to calculate Median Absolute Deviations mahapick module to select matching observations based on a Mahalanobis distance measure mail module to send progress reports (Mac OSX/Linux/Unix) majority module for majority calculations for real or hypothetical elections makeddi module to improve the quality and efficiency of meta-data documentation production makehlp module to automatically create a help file makeid module to create a unique ID for every observation in the dataset. makematrix module to make a matrix of results from other commands maketex module to generate LaTeX code from a text file malmq2 module to compute Malmquist Productivity Index map module to map string variables using an external dictionary file mapch module map chains of events maptile module to map a variable margdistfit module to check the distributional assumptions underlying a parametric regression model margeff module to compute average marginal effects for categorical and limited dependent variable models margfxmodule to compute mean marginal effects with nonlinear modelsmargin module to compute average marginal effects for categorical and limited dependent variable models marginscontplot2 module to graph margins for continuous predictors margintegrate module to estimate non-parametric smooth functions for generalized additive models marglmean module to compute marginal log means from regression models margprev module to compute marginal prevalences from binary regression models marhis module to produce predictive margins and marginal effects plots with histogram after regress, logit, xtmixed and mixed mark_changes module to generate a variable indicating where one or more variables changes value markdocmodule for literate programmingmarker module to generate indicator variable marking desired sample markov module to generate Markov probabilities markstat module to support literate data analysis using Stata and Markdown marktouse module to mark the observations to be used mat2txt module to write matrix to ASCII file matamatrix module to enable using Mata functions on Stata matrices matchit module to match two datasets based on similar text patterns matin4-matout4-matout4 module to import and export matricesmatmap module to perform elementwise calculations for matrices matnames module to return matrix row and column names matoddmodules to produce various matrix tasksmatpwcorr module to takes the output from pwcorr and creates the corresponding matrices matrixof module to produce matrix or vector of results for paired or single variables matrixtools module to build, present and style Stata matrices matsave module to save and load matrices matsort module to sort a matrix by a given column matvsort module for sorting vectors or rows or columns of matrices matwrite module to write Stata variables as MATLAB matrices mauchly module to compute Mauchly’s sphericity test for repeated measures ANOVA models maxdrawdown module to calculate the maximum drawdown of a stock, fund or other financial product mbitobit module to fit bivariate Tobit regression mbsens module to compute Sensitivity metric for matched sample using McNemar's test mc module to calculate a matched concordance index mca module to perform multiple correspondence analysis mcenter module to center variables at their means mcib module to estimate income distribution and inequality statistics from grouped data mclmodule to estimate multinomial conditional logit modelsmcmccqreg module to perform simulation assisted estimation of censored quantile regression using adaptive Markov chain Monte Carlo mcmclinearmodule for MCMC sampling of linear modelsmcmcstatsmodule to compute convergence and summary statistics for MCMC estimationmcqscore module to score the Monetary Choice Questionnaire using logistic regression mdensity module for univariate kernel density estimation, for variables or groups mdepriv module to compute synthetic indicators of multiple deprivation mdesc module to tabulate prevalence of missing values mean2 module to make a table of estimate means with subpopulation differences meaning module to use internet search for the meaning for a word or phrase medcouple module to compute medcouple measure of asymmetry and heaviness of the tails medianmodule to perform the median testmediationmodule for causal mediation analysis and sensitivity analysismedoid module to calculate medoids medsem module to perform mediation analysis using structural equation modelling medsurv module to calculate the median survival time after Cox/Poisson regression mehetprob module to compute marginal effects at means and their standard errors after hetprob meloreg2 module to perform Minimum Expected Loss (MELO) Instrumental Variables Regression melt module to melt variables into a dataset containing aggregated data by variable meoprobit module to compute marginal effects after estimation of ordered probit mequate module to calculate equating constants using the Mean/Mean and Mean/Sigma methods meresc module to rescale the results of mixed nonlinear probability models mergeall module to merge multiple files mergemany module to merge many files mergepoly module to merge adjacent polygons from a shapefile merlin module to fit mixed effects regression for linear and non-linear models meta_lr module to graph positive and negative likelihood ratios in diagnostic test metaaggrmodules for meta-analysis of aggregate datametaan module to perform fixed- or random-effects meta-analyses metabias module to test for small-study effects in meta-analysis metacum module to perform cumulative meta-analysis, with graphics metadata module to enable access to metadata metadialogmodule to provide sub-menu and dialogs for meta-analysis commandsmetaeff module to perform effect sizes calculations for meta-analyses metafrag module to compute the fragility index for meta-analysis metafunnel module to produce funnel plots for meta-analysis metagen module to perform meta-analysis of genetic-association studies metagraph module to draw Forrest plot after meta command metamiss module to perform meta-analysis with missing data metamiss2 module accounting for missing outcome data in meta-analysis metan module for fixed and random effects meta-analysis metandi module to perform meta-analysis of diagnostic accuracy metaninf module to evaluate influence of a single study in meta-analysis estimation metaparm module to perform meta-analysis and transformations using parmest resultssets metapow module for simulation based sample size calculations for designing new clinical trials and diagnostic test accuracy studies to update an existing meta-analysis metapreg module to compute fixed and random effects meta-analysis and meta-regression of proportions metaprop module to perform fixed and random effects meta-analysis of proportions metaprop_one module to perform fixed and random effects meta-analysis of proportions metareg module to perform meta-analysis regression metatrend module to implement regression methods for detecting trends in cumulative meta-analysis metatrim module to perform nonparametric analysis of publication bias mfilegr module to view and save multiple graphs with filenames based on a numeric identifier mfpi module for modelling and displaying interactions mfpigen module for modelling and displaying interactions between continuous predictors mfpmi module to build multivariable fractional polynomial models in multiply imputed data mfx2 module to enhance mfx command for obtaining marginal effects or elasticities after estimation mgbe module to compute Multimodel Generalized Beta Estimator mgen module to apply generate to a matrix mgof module to perform goodness-of-fit tests for multinomial data mhl module to compute Hodges and Lehman (1963) robust measure of location mhtexp module to perform multiple hypothesis testing correction procedure mi_impute_wlogit module to perform weighted multiple imputation for binary/categorical variables "- mi_mvncat module to assign ""final"" values to (mvn) imputed categorical variables" mi_twoway module for computing scores on questionnaires containing missing item responses mibmi module for cleaning and multiple imputation algorithm for body mass index (BMI) in longitudinal datasets micemodule for multiple imputation of missing valuesmice7module for multiple imputation of missing values (version 7)mictmodule to provide Multiple imputation for Categorical Time-seriesmidas module for meta-analytical integration of diagnostic test accuracy studies mif2dta module convert MapInfo Interchange Format boundary files to Stata boundary files miinc module to conduct multi-model inference using information criteria mim module to analyse and manipulate multiply imputed datasets mimix module to perform reference based multiple imputation for sensitivity analysis of longitudinal clinical trials with protocol deviation mimrgns module to run margins after mi estimate mimstack module to stack multiply-imputed datasets into format required by mim minap module to calculate minimum average partial correlation for principal components mint module to examine across-groups equivalence of confirmatory factor analysis (CFA) measurement model parameters miparallelmodule to perform parallel estimation for multiple imputed datasetsmipolate module to interpolate values mira module to compute Rubin's measure for multiple imputation regression analysis missing module to replace missing values missingplot module to draw plot showing patterns of missing values in a dataset missings module to manage missing values misum module to calculate summary statistics in MI dataset mivif module to calculate variance inflation factors after mi estimate regress mixlogit module to fit mixed logit models by using maximum simulated likelihood mixlogitwtp module to estimate mixed logit models in WTP space mixmcm module to estimate finite mixtures of non-stationary Markov chain models by maximum likelihood (ML) and the Expectation-Maximization (EM) algorithm mixmixlogit module to estimate mixed-mixed multinomial logit model mkbilogn module to create bivariate lognormal variables mkcorr module to generate correlation table formatted for easy inclusion in articles mkdat module providing easy SOEP retrievals mkdensity module to graph kernel densities of several variables mkern module to perform multivariate nonparametric kernel regression mkest module to convert variables to estimates matrix mkprofile module to create or edit your 'profile.do' mkstrsnmodules to format Social Security number variablesmktab module to print table of estimates in delimited or screen-presentation format mlboolean module to implement Boolean logit and probit mlcoint module to compute Johansen cointegration tests mlogitroc module to calculate multiclass ROC Curves and AUC from Multinomial Logistic Regression mlogpred module to produce predicted probabilities after mlogit and svymlog mlowess module for lowess smoothing with multiple predictors mlr2sls module for 2SLS estimation with multiple-LATEs robust standard error under treatment effect heterogeneity mlt module to provide multilevel tools mm_regressmodule to compute robust regression estimatesmmat2tex module to output Mata matrix as LaTeX table mmeiv module to perform Multiple Marginal Effects IV Estimation mmerge module: Safer and easier to use variant of merge. mmodes module to calculate the mode for a numeric varlist mmqreg module to estimate quantile regressions via Method of Moments mmsel module to simulate (counterfactual) distributions from quantile regressions (w/optional sample selection correction) mmsrm module to estimate Multidimensional Marginally Sufficient Rasch Model (MMSRM) mmws module to perform marginal mean weighting through stratification mnthplot module for scatter plot for monthly data with repetition of data mod11 module to generate Chile's National Identification Number (RUT) check digit (DV) (modulo 11) modeldiag module to generate graphics after regression modlpr module to estimate long memory in a timeseries mog module to produce one way or two way tables of means (or totals) mol module to evaluate literacy level moments module to compute moment-based statistics moments2 module to compute skewness and kurtosis measures moransi module to compute Moran's I more_clarifymodule to estimate quantities of interest through simulation and resampling methodsmoremata module (Mata) to provide various functions moreobs module to add observations to dataset moss module to find multiple occurrences of substrings motivate module providing motivation to users movavg module using Mata to generate Moving Averages movestay module for maximum likelihood estimation of endogenous regression switching models mpi module to compute the Alkire-Foster multidimensional poverty measures and their decomposition by deprivation indicators and population sub-groups mplotoffset module to produce marginsplots with offset plotting symbols mpovline module to calculate FGT0, FGT1 and FGT2 by intervals of multiple thresholds mpr module for computing the Medication Possession Ratio mqgamma module to estimate quantiles of potential-outcome distributions mrdum module to create dummy variables and summary table for multiple response data mrobust module to estimate model robustness and model influence mrprobit module to estimate probit with Misclassification of the Dependent Variable mrtab module to compute one- and two-way tables of multiple responses msdeco module to calculate the Mookherjee & Shorrocks (1982) over-time inequality decomposition by subgroup msdirb module to create a dataset of file names from the output of a MS-DOS dir/b command (Windows only) mseffect module to estimate the mean effect size of (binary/multiple group) treatment on multiple outcomes msp module to perform the Mokken Scale Procedure msplot module for multiple median-spline plots mss module to perform heteroskedasticity test for quantile and OLS regressions mstdize module to produce marginal standardization of two-way tables mstore module to Store and Retrieve Matrices with Dataset mtad module to perform Multinomial Test of Agglomeration and Dispersion mtebinary module to compute Marginal Treatment Effects (MTE) With a Binary Instrument mtefe module to compute marginal treatment effects with factor variables mtemore module to compute Marginal Treatment Effects (MTE) With a Binary Instrument mtreatreg module to fits models with multinomial treatments and continuous, count and binary outcomes using maximum simulated likelihood mulogit module to calculate multivariate and univariate odds ratios in logistic regression multencode module to encode multiple string variables into numeric multibar module to produce bar and dot graphs for use with overlapping over() categories multidot module for multiple panel dot charts and similar multif module to construct multiple if-restrictions with the same value for different variables multiline module for multiple panel line plots multimport module to import multiple non-Stata datafiles into memory, appending them automatically multipurt module to run 1st and 2nd generation panel unit root tests for multiple variables and lags multishell module to allot do files and variations of loops across parallel instances of Windows Stata and computers efficiently multistatemodule to perform multi-state survival analysismundlak module to estimate random-effects regressions adding group-means of independent variables to the model muxplot module to produce scatter plots with y versus multiple x variables muxyplot module to produce scatter plots with multiple x and y variables mvcorr module to generate moving-window correlation or autocorrelation in time series or panel mvfiles module to provide a convenient way to move/copy matched files from a specified input directory (also including, if wanted, additionally recursively matched subsets of files within distinctly matched offspring-directories) to a specified output directory mvmeta module to perform multivariate random-effects meta-analysis mvnxpbmodule for computation of multivariate normal probabilities using bivariate conditioningmvport module for Collection, Optimization and Backtest of Financial Portfolios mvprobit module to calculate multivariate probit regression using simulated maximum likelihood mvsamp1i module to determine sample size and power for multivariate regression mvsampsi module to determine sample size and power for multivariate regression mvsktest module to test for multivariate skewness and kurtosis mvsumm module to generate moving-window descriptive statistics in time series or panel mvtest module to perform multivariate F tests mvtnorm module to work with the multivariate normal and multivariate t distributions, with and without variable truncation mvtobit module to calculate multivariate tobit models by simulated maximum likelihood (SML) mycd10 module to process ICD-10 diagnosis and procedure codes mydatelabels module to generate axis labels with a label every time a component changes mylabels module for axis labels or ticks on transformed scales or for daily dates mypkg module to inform on packages installed over net
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nb_adjust module to identify and adjust outliers of a variable assumed to follow a negative binomial distribution nbercycles module to generate graph command (and optionally graph) timeseries vs. NBER recession dating nbfit module for fitting negative binomial distribution by maximum likelihood nbinreg module to estimate negative binomial regression models nbstrat module to estimate Negative Binomial with Endogenous Stratification ncf modules related to the noncentral F distribution nct modules related to the noncentral t distribution ndbci module extending ci for single variable with exposure time. nearest module to calculate nearest neighbours from point coordinates nearmrg module to provide nearest-match merging of datasets nearstat module to calculate distance-based variables and export distance matrix to text file nehurdle module for estimation of models with corner solutions neoclassical module to estimate neoclassical education transitions model netplot module to provide social network visualization netreg module to perform linear regression of a network response with the exchangeable assumption network module to perform network meta-analysis newey2 module to extend newey (HAC covariance estimation) newsimpact module to compute news impact curve for ARCH models next module to perform regression discontinuity ngram module to provide n-gram feature extractor nharvey module to perform Nyblom-Harvey panel test of common stochastic trends nicedates module for nice dates, especially for time series graphs niceest module to export regression table to excel niceloglabels module to produce nice axis labels for logarithmic scales nicewords module to pay compliments njc_stuff module documenting Stata programs and help files by Nicholas J. Cox nlcheck module to check linearity assumption after model estimation nlcorr module to compute correlation metric for cross-sample comparisons using non-linear probability models nmissing module to show numbers of missing or present values nnest module to perform J test and Cox-Pesaran-Deaton test for nonnested models nnipolate module for nearest neighbour interpolation nnmatch module to compute nearest-neighbor bias-corrected estimators nonparmde module to calculate the minimum detectable effect in randomized experiment nopomatch module to implement Nopo's decomposition norm module to normalize variables normalbvr module to generate Normal bivariate ridits normalizepath module to parse (and normalize) files' paths normalrir module to calculate ridits of inverse ridits between Normal populations normtest module to perform tests of univariate kurtosis and skewness npinfo module to merge network-based nodal characteristics npiv module to perform Nonparametric instrumental-variable regression on a scalar endogenous regressor nproc module to produce nonparametric receiver operating curves npseries module to perform Nonparametric Power Series Estimation npss module to estimate nonparametric heteroskedastic state space models npsynth module to implement Nonparametric Synthetic Control Method nrow module to rename variables as their nth-row values nruns module to compute number of runs compared with random shuffles nscale module to scale data nsplit module to split numeric variable into components nstage module for multi-arm, multi-stage (MAMS) trial designs for time-to-event outcomes nstagebin module to perform sample size calculation for multi-arm multi-stage randomised controlled trials with binary outcomes nstagebinopt module to compute admissible multi-arm multi-stage trial designs with binary outcomes ntreatreg module for estimation of treatment effects in the presence of neighbourhood interactions num2base26 module to provide an interface to Mata's numtobase26() function num2words module to convert numbers to text numdate module to generate date-times or components nvars module to count the number of variables nw_fromlist module to build a network from a list of long-form data nw_projection module to project a bipartite network into one of its two dimensions nw_wcc module to calculate Weighted Clustering Coefficients (WCC) in Complex Direct Networks nwanndmodule to compute ANND (average nearest neighbor degree) and related measuresnwcluster module to compute the clustering coefficient of a network's vertices nwdisparity module to calculate the disparity of a network's nodes nwind module to compute Newey-Windmeijer VCE after ivreg2 GMM-CUE estimation nwreciprocity module to calculate reciprocity metrics for (weighted) directed networks nwstrengthcentmodule to compute Freeman's centrality index (1979) for strength centralitynysiis module to calculate nysiis codes from string variables nytimes module to display top news stories from the New York Times
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oaxaca module to compute the Blinder-Oaxaca decomposition oaxaca8 module to compute decompositions of outcome differentials oaxaca9 module to compute the Blinder-Oaxaca decomposition obsdiff module to identify differences in values across observations for a variable obsofint module to display observations of interest ocratio modules to fit continuation-ratio models on ordinal response data oda module for conducting Optimal Discriminant Analysis oddsrisk module to convert Logistic Odds Ratios to Risk Ratios odi module to score Oswestry Disability Index odkmeta module to import ODK data odksplit module to split and label multiple response variables generated from ODK or SurveyCTO oeratio module to calculate ratio of observed to expected outcomes oesch module to recode ISCO codes into Oesch class scheme ofrtplot module to plot observed, fitted and residuals versus time variable oglm module to estimate Ordinal Generalized Linear Models oglm9 module to estimate Ordinal Generalized Linear Models omninorm module to calculate omnibus test for univariate/multivariate normality omodel modules to perform tests on ordered probit and ordered logit models onemode module to produce one-mode projections of a bipartite network onespell module to generate single longest spell for each unit in panel data, listwise onewayplot module for oneway plots onewplot module for oneway plots oparallel module providing post-estimation command for testing the parallel regression assumption openall module to open all specified files with append opencagegeo module for forward and reverse geocoding using the OpenCage Geocoder API oplabdata module to load data from the Equality of Opportunity Project opplot module to generate a vertical bar chart to summarize a binary outcome in cluster survey data oprobpr module to display predicted probabilities from ordered probit and logit optaspect module to compute heuristic criteria for optimal aspect ratios in a two-variable line plot optifact module to find the best summated rating scale from a list of items ordplot module for cumulative distribution plot of ordinal variable ordvar module to calculate measures of ordinal consensus and dispersion orse module to save odds ratios and their standard errors after logit, ologit orth_out module to automate and export summary stats/orthogonality tables orthog module to orthogonalize variables osort module to reorder variable(s) and sort data outdat module to export data to other statistical packages outfixmodule to produce fixed format output (version 5)outfix2 module to output formatted data outfixt module to write fixed-format text file outreg module to write estimation tables to a Word or TeX file outreg2 module to arrange regression outputs into an illustrative table outreg5 module to format regression output for published tables outseries module to write timeseries to text files outsum module to write formatted descriptive statistics to a text file outtable module to write matrix to LaTeX table outtex module to LaTeX code for result tables after any estimation command outwrite module to consolidate multiple regressions and export the results to a .xlsx, .xls, .csv, or .tex file ovbd module to generate correlated random binomial data overdisp module to detect overdispersion in count-data models using Stata overfit module to calculate shrinkage statistics to measure overfitting as well as out- and in-sample predictive bias overid module to calculate tests of overidentifying restrictions after ivreg2, ivreg29, ivregress, ivprobit, ivtobit, reg3 overlay module to overlay multiple x vs y graphs ovfplot module for plots of observed vs fitted
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p2ci module to calculate confidence limits of a regression coefficient from the p-value pagetrend module to perform Page's L trend test for ordered alternatives pairdata module to create paired datasets from individual-per-row data pairplot module for plots of paired observations pajek2stata module to import network data in Pajek's .net format palette_all module to display all the named colours in Stata palettes module to provide color palettes, symbol palettes, and line pattern palettes pam Module to Estimate Policy Analysis Matrix (PAM) panelautomodule to support tests for autocorrelation on panel datapanelheteromodule to examine the degree of heterogeneity across cross-sectional units using panel datapanell module to display panel length for a given set of variables panels module to count panels and apply a command to panel units panelthin module to identify observations for possible thinned panel dataset panelunitmodule to support unit root tests on panel datapantest2module to perform diagnostic tests in fixed effects panel regressionsparagr module for parallel graphing of a coefficient across different equations parallel module for Parallel Computing paramed module to perform causal mediation analysis using parametric regression models paran module to compute Horn's test of principal components/factors paretofit module to fit a Type 1 Pareto distribution parmest module to create new data set with one observation per parameter of most recent model parmhet module to produce heterogeneity tests in parmest resultssets parmparse module to parse a parameter name variable in a parmest resultsset parplot module for parallel coordinates plots parseloc module to extract coordinates from a geolocation variable generated by Survey Solutions parseuas module to extract detailed information from user agent strings partchart module to automatically output participant characteristics table in a variety of formats partgam module to calculate partial gamma coefficient partpred module to generate partial predictions parttau module to calculate Kendall's partial tau and confidence interval pascal module to draw Pascal's triangle path module to support file path manipulation pathof module to return the absolute path of any parent directory of the current working directory pathutil module to support file path manipulation paverage module to calculate p-period-average series in a panel dataset payper module to compute the periodic payment and the entire schedule of a loan or annuity pbeta module to generate probability plot for data compared with fitted beta distribution pbreg module to fit the Preece and Baines (1978) family of growth curves and age, height, and velocity at peak height velocity pca2 module to apply Principal Component Analisys (PCA) to standard and GMM-style instrumental variables pcacoefsave module to save results of PCA to new dataset pcdsearch module to extract code lists from primary care databases pchipolate module for piecewise cubic Hermite interpolation pciplot module to plot pointwise confidence intervals pcmdif module to for diagnosing and considering a potential differential item functioning (DIF) when analysing patient reported outcomes using partial credit models pcmodel module to estimate parameters of a Partial Credit Model or a Rating Scale Model by MML pcmtest module to test the fit of a Partial Credit Model or a Rating Scale Model estimated using pcmodel pcontract module to make a data set of frequencies and percentages pcorr2 module to display partial and semipartial correlation coefficients pcorrmat module to compute partial correlation coefficients controlled for a fixed set of covariates pcpanel module to perform power calculations for randomized experiments with panel data, allowing for arbitrary serial correlation pctrim module to trim variables based on percentiles pdc module for computing the Proportion of Days Covered (of a medication) pdplot module to produce Pareto dot plot pdslasso module for post-selection and post-regularization OLS or IV estimation and inference peerreview module to randomly assign papers to peers for review pem Module to Estimate Partial EquiLibrium Model (PEM) percat module to perform percentile-based categorisation percentmatch module to calculate the highest percentage match (near duplicates) between observations percommodule to create permutations and combinationspersonage module to calculate people's ages or similar daily date differences perturb module to evaluate collinearity and ill-conditioning pescadf module to perform Pesaran's CADF panel unit root test in presence of cross section dependence petpoisson module to estimate an Endogenous Participation Endogenous Treatment Poisson model by MSL pexp module to produce probability plot for data compared with fitted exponential distribution pfs module to predict Financial Skill scale scores from CFPB survey instrument pfwb module to predict Financial Well-Being scale scores from CFPB survey instrument pgamma module to generate probability plot for data vs fitted gamma distribution pgmhaz8 module to estimate discrete time (grouped data) proportional hazards models phenotype module to simulate disease status and censored age for family data piaactoolsmodule to provide PIAAC toolspieplot module to plot pie charts of categorical frequencies pindex module to compute targeted price indices pisareg module to perform linear regression with PISA data and plausible values pisatoolsmodule to facilitate analysis of the data from the PISA OECD studyplausexog module to implement Conley et al's plausibly exogenous bounds plot3dmodule to draw colored, scalable, rotatable 3D plotsplotbeta module to plot linear combinations of coefficients plotmatrix module to plot values of a matrix as different coloured blocks plotrpys module to plot a spectrogram using CSV export from CRExplorer pls module to calculate composite variables using the partial least squares path modeling (PLS) algorithm plssas module to execute SAS partial least squares procedure (Windows only) plssem module to implement Partial least squares structural equation modelling (PLS-SEM) plztowknr module to translate German zip codes into electoral districts pmanagemodule to manage large projectspmcalplot module to produce calibration plot of prediction model performance pmsampsize module to calculate the minimum sample size required for developing a multivariable prediction model png2rtf module to include PNG graphics in RTF documents pnrcheck module to verify the check digit in Swedish personal identification number pobrezaecu module to predict poverty in Ecuador poi2hdfe module to estimate a Poisson regression with two high-dimensional fixed effects poisml module to estimate maximum likelihood Poisson regression models polar module to plot polar coordinates polyspline module to generate sensible bases for polynomials and other splines poparms module for potential outcome parameter estimation popsim module to simulate completed fertility and birth intervals for two generations postrcspline module containing post-estimation commands for models using a restricted cubic spline postrri module to calculate posterior relative risks povcalnet module to access World Bank Global Poverty and Inequality measures povdeco module to calculate poverty indices with decomposition by subgroup poverty module to calculate poverty measures povguide module to generate the U.S. Poverty Guideline value for a given family size and year povimp module to provide poverty estimates in the absence of actual consumption data povtime module to compute aggregate intertemporal poverty measures (poverty in a panel accounting for time) power_tworates_zhu module to calculate sample size or power for a two-sample test of rates powercal module to perform general power and sample size calculations powerclus module to calculate sample size and/or cluster size for cluster designed studies powerq module to calculates posterior probabilities for heterogeneity in a meta-analysis powersim module for simulation-based power analysis for linear and generalized linear models ppml module to perform Poisson pseudo-maximum likelihood estimation "- ppml_panel_sg module to estimate ""structural gravity"" models via Poisson PML" ppmlhdfe module for Poisson pseudo-likelihood regression with multiple levels of fixed effects ppplot module for P-P plots ppschromy module to draw sample with probability proportionate to size, using Chromy's method of sequential random sampling ppssampford module to draw sample with probability proportionate to size, without replacement, using Sampford's method pre module to calculate the proportional reduction in errors accomplished by an estimated model predcalc module to calculate out-of-sample predictions for regression, logistic predsurv module to compute predicted survival to a specified time after streg predxcat module to calculate predicted means, medians, or proportions for nominal X's predxcon module to calculate predicted means, medians, or proportions for a continuous X variable prepar module to write code and data file needed to process variables in PARSCALE preparation module to facilitate a one-by-one observation of varlist to make it easier to control data and labels primes module to generate prime numbers printgph module to execute command for each matching file probcalc module to calculate probabilities for Binomial, Poisson, and Normal Distributions probexog-tobexog-tobexog modules to test exogeneity in probit/tobitprobitfe module to compute analytical and jackknife bias corrections for fixed effects estimators of panel probit models with individual and time effects probitivmodule to perform instrumental variables probitprobitmiss module for Efficient Probit Estimation with Partially missing Covariates prodest module for production function estimation based on the control function approach prodvars module to create product variables for two lists of input variables prody module to calculate factor intensity and sophistication indicators profhap module to construct profile likelihood confidence intervals for haplotype analysis progres module to measure distributive effects of an income tax project module providing a set of tools to build and manage a Stata project prolist module to list programs, help files, dialogs propcnsreg module fitting a measurement model with causal indicators proprcspline module for restricted cubic spline smoothing of proportions prosperity module to compute Shared Prosperity Convergence Index prtab module to compute Precision-recall curves prwe module to calculate the PRWE scores from your records psacalc module to calculate treatment effects and relative degree of selection under proportional selection of observables and unobservables psbayes module to perform pseudo-Bayes smoothing of cell estimates psemail module to send email from within Stata for Windows environment psestimate module to estimate the propensity score proposed by Imbens and Rubin pshare module to compute and graph percentile shares psidtools module to facilitate access to Panel Study of Income Dynamics (PSID) psiduse module providing easy PSID access psmatch2 module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing pspline module providing a penalized spline scatterplot smoother based on linear mixed model technology pstrata module for optimal propensity score stratification psweight module to perform IPW- and CBPS-type propensity score reweighting, with various extensions ptrend module for trend analysis for proportions ptvtools module contining various tools for PTV analysis punaf module to compute population a