Statistical Software Components

from Boston College Department of Economics
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA.
Contact information at EDIRC.
Series data maintained by Christopher F Baum ().

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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
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
MIXLOGIT: Stata module to fit mixed logit models by using maximum simulated likelihood: Arne Hole
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
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: Nick Winter
MLBOOLEAN: Stata module to implement Boolean logit and probit: Bear F. Braumoeller
MLCOINT: Stata module to compute Johansen cointegration tests: Ken Heinecke
MLOGPRED: Stata module to produce predicted probabilities after mlogit and svymlog: Bill Sribney
MLOWESS: Stata module for lowess smoothing with multiple predictors: Nicholas Cox
MM_REGRESS: Stata module to compute robust regression estimates: Vincenzo Verardi and Christophe Croux
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 Paul Mander
MMSRM: Stata module to estimate Multidimensional Marginally Sufficient Rasch Model (MMSRM): Jean-Benoit Hardouin
MNTHPLOT: Stata module for scatter plot for monthly data with repetition of data: Nicholas Cox
MODELDIAG: Stata module to generate graphics after regression: Nicholas Cox
MODFYCMD: Stata module: adds syntax elements to a command: Jeroen Weesie
MODLPR: Stata module to estimate long memory in a timeseries: Christopher Baum and Vince Wiggins
MOKKEN: Stata module: Mokken scale analysis: Jeroen Weesie
MOL: Stata module to evaluate literacy level: João Pedro Azevedo
MOMENTS: Stata module to compute moment-based statistics: Nicholas Cox
MOPOS: Excel module implementing monetary policy simulation game: Yvan Lengwiler
MOREMATA: Stata module (Mata) to provide various functions: Ben Jann
MOREOBS: Stata module to add observations to dataset: Nicholas Cox
MOVESTAY: Stata module for maximum likelihood estimation of endogenous regression switching models: Michael Lokshin and Zurab Sajaia
MRDUM: Stata module to create dummy variables and summary table for multiple response data: Lee E. Sieswerda
MRTAB: Stata module to compute one- and two-way tables of multiple responses: Ben Jann and Hilde Schaeper
MSP: Stata module to perform the Mokken Scale Procedure: Jean-Benoit Hardouin
MSPLOT: Stata module for multiple median-spline plots: Nicholas Cox
MSTDIZE: Stata module to produce marginal standardization of two-way tables: Nicholas Cox
MSTORE: Stata module to Store and Retrieve Matrices with Dataset: Michael Blasnik
MTREATREG: Stata module to fits models with multinomial treatments and continuous, count and binary outcomes using maximum simulated likelihood: Partha Deb
MULOGIT: Stata module to calculate multivariate and univariate odds ratios in logistic regression: Leif E. Peterson
MULTENCODE: Stata module to encode multiple string variables into numeric: Nicholas Cox
MULTGOF: Stata module: Cressie-Read goodness-of-for for multinomial distribution: Jeroen Weesie
MULTIBAR: Stata module to produce bar and dot graphs for use with overlapping over() categories: Fred Wolfe
MULTIPC2D: RATS module for cointegration tests in heterogenous panels with multiple regressors: Peter Pedroni
MULTNORM: RATS module to generate a sample from a multivariate normal population: Eric Blankmeyer
MUXPLOT: Stata module to produce scatter plots with y versus multiple x variables: Nicholas Cox
MUXYPLOT: Stata module to produce scatter plots with multiple x and y variables: Nicholas Cox
MVCORR: Stata module to generate moving-window correlation or autocorrelation in time series or panel: Nicholas Cox and Christopher Baum
MVMETA: Stata module to perform multivariate random-effects meta-analysis: Ian White
MVPATT: Stata module: displays missing-value patterns: Jeroen Weesie
MVPROBIT: Stata module to calculate multivariate probit regression using simulated maximum likelihood: Lorenzo Cappellari and Stephen Jenkins
MVSAMP1I: Stata module to determine sample size and power for multivariate regression: David E. Moore