Statistical Software Components

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MISSING: Stata module to replace missing values: Jose Maria Sanchez Saez
MISSINGPLOT: Stata module to draw plot showing patterns of missing values in a dataset: Nicholas Cox
MISSINGS: Stata module to manage missing values: Nicholas Cox
MISUM: Stata module to calculate summary statistics in MI dataset: Daniel Klein
MIVCAUSAL: Stata module for testing the hypothesis about the signs of the 2SLS weights: Conroy Lau and Alexander Torgovitsky
MIVIF: Stata module to calculate variance inflation factors after mi estimate regress: Daniel Klein
MIXLELAST: Stata module to compute mixed logit sample elasticities and marginal effects: Lars Zeigermann
MIXLOGIT: Stata module to fit mixed logit models by using maximum simulated likelihood: Arne Hole
MIXLOGITWTP: Stata module to estimate mixed logit models in WTP space: Arne Hole
MIXMCM: Stata module to estimate finite mixtures of non-stationary Markov chain models by maximum likelihood (ML) and the Expectation-Maximization (EM) algorithm: Legrand Saint-Cyr and Laurent Piet
MIXMIXLOGIT: Stata module to estimate mixed-mixed multinomial logit model: Timothy Neal
MIXRANDREGRET: Stata module for fitting mixed random regret minimization models: Ziyue Zhu, Álvaro A. Gutiérrez Vargas and Martina Vandebroek
MIXVAR: RATS procedure to compute mixed estimation of an equation with a Bayesian prior: Tom Doan
MKBILOGN: Stata module to create bivariate lognormal variables: Stephen Jenkins
MKCORR: Stata module to generate correlation table formatted for easy inclusion in articles: Glenn Hoetker
MKDAT: Stata module providing easy SOEP retrievals: Ulrich Kohler
MKDENSITY: Stata module to graph kernel densities of several variables: Szabolcs Lorincz
MKERN: Stata module to perform multivariate nonparametric kernel regression: Giovanni Cerulli
MKEST: Stata module to convert variables to estimates matrix: Roy Wada
MKPROFILE: Stata module to create or edit your 'profile.do': Dan Blanchette
MKPROJECT: Stata module to create a project folder with some boilerplate code and research log: Maarten Buis
MKTAB: Stata module to print table of estimates in delimited or screen-presentation format: Nicholas Winter
MLAD: Stata module to perform maximum likelihood using automatic differentiation: Paul Lambert
MLBOOLEAN: Stata module to implement Boolean logit and probit: Bear Braumoeller
MLCOINT: Stata module to compute Johansen cointegration tests: Ken Heinecke
MLOGITROC: Stata module to calculate multiclass ROC Curves and AUC from Multinomial Logistic Regression: Leif E. Peterson
MLOGPRED: Stata module to produce predicted probabilities after mlogit and svymlog: Bill Sribney
MLOWESS: Stata module for lowess smoothing with multiple predictors: Nicholas Cox
MLR2SLS: Stata module for 2SLS estimation with multiple-LATEs robust standard error under treatment effect heterogeneity: Seojeong Lee and Dandan Yu
MLT: Stata module to provide multilevel tools: Katja Moehring and Alexander Schmidt-Catran
MMAT2TEX: Stata module to output Mata matrix as LaTeX table: Jan Ditzen
MMEIV: Stata module to perform Multiple Marginal Effects IV Estimation: Carolina Caetano, Juan Carlos Escanciano and Alon Bergman
MMERGE: Stata module: Safer and easier to use variant of merge: Jeroen Weesie
MMODES: Stata module to calculate the mode for a numeric varlist: Adrian Mander
MMQREG: Stata module to estimate quantile regressions via Method of Moments: Fernando Rios-Avila
MMSEL: Stata module to simulate (counterfactual) distributions from quantile regressions (w/optional sample selection correction): Sami Souabni
MMSRM: Stata module to estimate Multidimensional Marginally Sufficient Rasch Model (MMSRM): Jean-Benoit Hardouin
MMWS: Stata module to perform marginal mean weighting through stratification: Ariel Linden
MNTHPLOT: Stata module for scatter plot for monthly data with repetition of data: Nicholas Cox
MOD11: Stata module to generate Chile's National Identification Number (RUT) check digit (DV) (modulo 11): George Vega
MODELDIAG: Stata module to generate graphics after regression: Nicholas Cox
MODELSEL: GAUSS module for Model Selection in Time Series Analysis: Scott Hacker and Abdulnasser Hatemi-J
MODLPR: Stata module to estimate long memory in a timeseries: Christopher Baum and Vince Wiggins
MODPLOT: Stata module for plotting graphs of moderating effects: Shutter Zor
MOG: Stata module to produce one way or two way tables of means (or totals): Matt Hurst
MOL: Stata module to evaluate literacy level: João Pedro Azevedo
MOMENTS2: Stata module to compute skewness and kurtosis measures: Dirk Enzmann
MOMENTS: Stata module to compute moment-based statistics: Nicholas Cox
MOMENTSETS: Stata module for moment-based measures collected as datasets: Nicholas Cox
MONTEVAR: RATS procedure to perform Monte Carlo Integration of VAR Impulse Response confidence bands: Tom Doan