Statistical Software Components

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MFPMI: Stata module to build multivariable fractional polynomial models in multiply imputed data: Tim Morris and Patrick Royston
MFX2: Stata module to enhance mfx command for obtaining marginal effects or elasticities after estimation: Richard Williams
MGBE: Stata module to compute Multimodel Generalized Beta Estimator: Yutong Duan and Paul T. von Hippel
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
MHL: Stata module to compute Hodges and Lehman (1963) robust measure of location: Wouter Gelade, Vincenzo Verardi and Catherine Vermandele
MHTEXP: Stata module to perform multiple hypothesis testing correction procedure: Joseph Seidel and Yang Xu
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
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
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
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
MIVIF: Stata module to calculate variance inflation factors after mi estimate regress: Daniel Klein
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
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
MKEST: Stata module to convert variables to estimates matrix: Roy Wada
MKPROFILE: Stata module to create or edit your 'profile.do': Dan Blanchette
MKSTRSN: Stata modules to format Social Security number variables: William Gould
MKTAB: Stata module to print table of estimates in delimited or screen-presentation format: Nicholas Winter
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
MLT: Stata module to provide multilevel tools: Katja Moehring and Alexander Schmidt-Catran
MM_REGRESS: Stata module to compute robust regression estimates: Vincenzo Verardi and Christophe Croux