Statistical Software Components

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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
MMAT2TEX: Stata module to output Mata matrix as LaTeX table: Jan Ditzen
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
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
MODLPR: Stata module to estimate long memory in a timeseries: Christopher Baum and Vince Wiggins
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
MONTEVAR: RATS procedure to perform Monte Carlo Integration of VAR Impulse Response confidence bands: Tom Doan
MOPOS: Excel module implementing monetary policy simulation game: Yvan Lengwiler
MORE_CLARIFY: Stata module to estimate quantities of interest through simulation and resampling methods: Javier Marquez Pena
MOREMATA: Stata module (Mata) to provide various functions: Ben Jann
MOREOBS: Stata module to add observations to dataset: Nicholas Cox
MOSS: Stata module to find multiple occurrences of substrings: Robert Picard and Nicholas Cox
MOVAVG: Stata module using Mata to generate Moving Averages: George Vega
MOVESTAY: Stata module for maximum likelihood estimation of endogenous regression switching models: Michael Lokshin and Zurab Sajaia
MPI: Stata module to compute the Alkire-Foster multidimensional poverty measures and their decomposition by deprivation indicators and population sub-groups: Daniele Pacifico and Felix Pöge
MPLOTOFFSET: Stata module to produce marginsplots with offset plotting symbols: Nick Winter
MPOVLINE: Stata module to calculate FGT0, FGT1 and FGT2 by intervals of multiple thresholds: João Pedro Azevedo and Viviane Sanfelice
MQGAMMA: Stata module to estimate quantiles of potential-outcome distributions: David M. Drukker
MRDUM: Stata module to create dummy variables and summary table for multiple response data: Lee Sieswerda
MRJD_MLE: MATLAB function to estimate parameters of a Mean-Reverting Jump-Diffusion (MRJD) process using maximum likelihood: Rafał Weron
MRJD_PRED: MATLAB function to make a one-step ahead prediction of a Mean-Reverting Jump-Diffusion (MRJD) process: Rafał Weron
MRJD_SIM: MATLAB function to simulate trajectories of a Mean-Reverting Jump-Diffusion (MRJD) process: Rafał Weron
MROBUST: Stata module to estimate model robustness and model influence: Cristobal Young and Katherine Holsteen