Statistical Software Components

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MGEN: Stata module to apply generate to a matrix: Ben Jann
MGOF: Stata module to perform goodness-of-fit tests for multinomial data: Ben Jann
MHEGY: RATS procedure to implement the monthly version of the "HEGY" tests: Tom Doan
MHTEXP: Stata module to perform multiple hypothesis testing correction procedure: Joseph Seidel and Yang Xu
MHTREG: Stata module for multiple hypothesis testing controlling for FWER: Andreas Steinmayr
MI_IMPUTE_FROM: Stata module to impute using an external imputation model: Robert Thiesmeier, Matteo Bottai and Nicola Orsini
MI_IMPUTE_WLOGIT: Stata module to perform weighted multiple imputation for binary/categorical variables: Tra My Pham
MI_MVNCAT: Stata module to assign "final" values to (mvn) imputed categorical variables: Daniel Klein
MI_TWOWAY: Stata module for computing scores on questionnaires containing missing item responses: Jean-François Hamel
MIBMI: Stata module for cleaning and multiple imputation algorithm for body mass index (BMI) in longitudinal datasets: Evangelos Kontopantelis
MICT: Stata module to provide Multiple imputation for Categorical Time-series: Brendan Halpin
MIDAS: Stata module for meta-analytical integration of diagnostic test accuracy studies: Ben Dwamena
MIESIZE: Stata module to estimate effect sizes from multiply imputed data: Paul A Tiffin
MIF2DTA: Stata module convert MapInfo Interchange Format boundary files to Stata boundary files: Maurizio Pisati
MIINC: Stata module to conduct multi-model inference using information criteria: Joseph Luchman
MILDEVGOALS: HTML routine to display Millenium Development Goals indicators: Jochen Jesinghaus
MIM: Stata module to analyse and manipulate multiply imputed datasets: John C. Galati, Patrick Royston and John B. Carlin
MIMIX: Stata module to perform reference based multiple imputation for sensitivity analysis of longitudinal clinical trials with protocol deviation: Suzie Cro
MIMPT: Stata module to impute missing values and persist in case of non-convergence: Daniel Klein
MIMRGNS: Stata module to run margins after mi estimate: Daniel Klein
MIMSTACK: Stata module to stack multiply-imputed datasets into format required by mim: John C. Galati, Patrick Royston and John B. Carlin
MINAP: Stata module to calculate minimum average partial correlation for principal components: Stephen Soldz
MINIMAX: RATS module to estimate a minimax regression: Eric Blankmeyer
MINMSE: Stata module to create balanced groups for treatment in experiments with one or several treatment arms: Sebastian Schneider
MINT: Stata module to examine across-groups equivalence of confirmatory factor analysis (CFA) measurement model parameters: Mehmet Mehmetoglu
MIPARALLEL: Stata module to perform parallel estimation for multiple imputed datasets: Timothy Mak
MIPOLATE: Stata module to interpolate values: Nicholas Cox
MIRA: Stata module to compute Rubin's measure for multiple imputation regression analysis: Rodrigo Alfaro
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