Statistical Software Components

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MATSORT: Stata module to sort a matrix by a given column: Paul Millar
MATSTAT: Stata module to format tabstat, assembling of results in one matrix: John Casterline
MATVSORT: Stata module for sorting vectors or rows or columns of matrices: Nicholas Cox
MATWRITE: Stata module to write Stata variables as MATLAB matrices: Andrew Shephard
MAUCHLY: Stata module to compute Mauchly’s sphericity test for repeated measures ANOVA models: Muhammad Rashid Ansari
MAXDRAWDOWN: Stata module to calculate the maximum drawdown of a stock, fund or other financial product: Zhiyong Li
MAXSUM: Stata module to compute the maximum value of a rolling sum: Ariel Linden
MAXWELL: Stata module for computing Maxwell's random error (RE) coefficient of agreement between 2 raters for binary data: Ariel Linden
MBITOBIT: Stata module to fit bivariate Tobit regression: Fernando Rios-Avila
MBSENS: Stata module to compute Sensitivity metric for matched sample using McNemar's test: Hemang Subramanian and Eric Overby
MC: Stata module to calculate a matched concordance index: Chao Wang
MCA: Stata module to perform multiple correspondence analysis: Philippe Van Kerm
MCD: RATS module to compute robust mean vector and covariance matrix: Eric Blankmeyer
MCENTER: Stata module to center variables at their means: Jeffrey S. Simons
MCES: Stata module for Marginal Comparison Effect Sizes: Brian Shaw
MCFEVDTABLE: RATS procedure to organize tables of FEVD's with confidence bands: Tom Doan
MCGRAPHIRF: RATS procedure to organize graphs of IRF's with confidence bands: Tom Doan
MCIB: Stata module to estimate income distribution and inequality statistics from grouped data: Paul A. Jargowsky
MCL: Stata module to estimate multinomial conditional logit models: John Hendrickx
MCLEODLI: RATS procedure to perform a McLeod-Li test for 2nd order dependence: Tom Doan
MCMCCQREG: Stata module to perform simulation assisted estimation of censored quantile regression using adaptive Markov chain Monte Carlo: Matthew Baker
MCMCLINEAR: Stata module for MCMC sampling of linear models: Sam Schulhofer-Wohl
MCMCPOSTPROC: RATS procedure to calculate sample statistics from MCMC realizations: Tom Doan
MCMCSTATS: Stata module to compute convergence and summary statistics for MCMC estimation: Sam Schulhofer-Wohl
MCPROCESSIRF: RATS procedure to organize error bands for IRF's based upon MC results: Tom Doan
MCQSCORE: Stata module to score the Monetary Choice Questionnaire using logistic regression: E. Paul Wileyto
MCVARDODDRAWS: RATS procedure to perform Monte Carlo draws from a VAR to generate IRF's: Tom Doan
MCWR: Stata module to compute Markov chain with rewards calculations: Daniel C. Schneider, Mikko Myrskylä and Alyson van Raalte
MDENSITY: Stata module for univariate kernel density estimation, for variables or groups: Nicholas Cox
MDEPRIV: Stata module to compute synthetic indicators of multiple deprivation: Maria Pi Alperin and Philippe Van Kerm
MDESC: Stata module to tabulate prevalence of missing values: Rose Anne Medeiros and Dan Blanchette
MEAN2: Stata module to make a table of estimate means with subpopulation differences: Roy Wada
MEAN_CI_PLOT: Stata module to plot means and confidence intervals: Zaeen de Souza and Kabira Namit
MEANGROUP: RATS procedure to perform mean group estimator for panel data: Tom Doan
MEANING: Stata module to use internet search for the meaning for a word or phrase: Mehrab Ali
MEDIAN: Stata module to perform the median test: Mario Cleves
MEDIATION: Stata module for causal mediation analysis and sensitivity analysis: Raymond Hicks and Dustin Tingley
MEDOID: Stata module to calculate medoids: Dean Judson
MEDSEM: Stata module to perform mediation analysis using structural equation modelling: Mehmet Mehmetoglu
MEDSURV: Stata module to calculate the median survival time after Cox/Poisson regression: Chao Wang
MEHETPROB: Stata module to compute marginal effects at means and their standard errors after hetprob: Thomas Cornelissen
MELOREG2: Stata module to perform Minimum Expected Loss (MELO) Instrumental Variables Regression: Emad Shehata
MELT: Stata module to melt variables into a dataset containing aggregated data by variable: Johannes Blumenberg
MEOPROBIT: Stata module to compute marginal effects after estimation of ordered probit: Thomas Cornelissen
MEQUATE: Stata module to calculate equating constants using the Mean/Mean and Mean/Sigma methods: Leah McGuire
MERESC: Stata module to rescale the results of mixed nonlinear probability models: Dirk Enzmann and Ulrich Kohler
MERGEALL: Stata module to merge multiple files: Ryan Knight
MERGEMANY: Stata module to merge many files: Damian Clarke
MERGEPOLY: Stata module to merge adjacent polygons from a shapefile: Robert Picard and Michael Stepner
MERLIN: Stata module to fit mixed effects regression for linear and non-linear models: Michael J. Crowther