Statistical Software Components

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MLAD: Stata module to perform maximum likelihood using automatic differentiation: Paul Lambert
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
MLR2SLS: Stata module for 2SLS estimation with multiple-LATEs robust standard error under treatment effect heterogeneity: Seojeong Lee and Dandan Yu
MLT: Stata module to provide multilevel tools: Katja Moehring and Alexander Schmidt-Catran
MMAT2TEX: Stata module to output Mata matrix as LaTeX table: Jan Ditzen
MMEIV: Stata module to perform Multiple Marginal Effects IV Estimation: Carolina Caetano, Juan Carlos Escanciano and Alon Bergman
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
MMQREG: Stata module to estimate quantile regressions via Method of Moments: Fernando Rios-Avila
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
MODE: Stata module to display and store the mode of a variable: Ariel Linden
MODELDIAG: Stata module to generate graphics after regression: Nicholas Cox
MODELSEL: GAUSS module for Model Selection in Time Series Analysis: Scott Hacker and Abdulnasser Hatemi-J
MODLPR: Stata module to estimate long memory in a timeseries: Christopher Baum and Vince Wiggins
MODPLOT: Stata module for plotting graphs of moderating effects: Shutter Zor
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
MOMENTSETS: Stata module for moment-based measures collected as datasets: 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
MORANPLOT: Stata module to produce Moran scatter plots: Zhenhuan Chen
MORANSI: Stata module to compute Moran's I: Keisuke Kondo
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
MOTIVATE: Stata module providing motivation to users: Kabira Namit
MOTIVATEDOLLY: Stata module to provide quotes, lyrics and links to motivational songs from Dolly Parton: Bailey Palmer
MOUNTAINPLOT: Stata module to produce folded empirical distribution function curves (mountain plots): Ariel Linden
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
MPITB: Stata module to estimate and analyze multidimensional poverty indices (MPI): Nicolai Suppa
MPLOTOFFSET: Stata module to produce marginsplots with offset plotting symbols: Nicholas Winter
MPOVLINE: Stata module to calculate FGT0, FGT1 and FGT2 by intervals of multiple thresholds: João Pedro Azevedo and Viviane Sanfelice
MPR: Stata module for computing the Medication Possession Ratio: Ariel Linden
MQGAMMA: Stata module to estimate quantiles of potential-outcome distributions: David 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