Statistical Software Components

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QWEIBULL: Stata module to generate quantile-quantile plot for data vs fitted Weibull distribution: Nicholas Cox
R2_MLM: Stata module to compute r-squared measures for models estimated by mixed: Anthony J. Gambino
R2_MZ: Stata module to compute McKelvey & Zavoina's R2: Dirk Enzmann
R2_NAKAGAWA: Stata module for computing Nakagawa's R-squared statistic for multilevel mixed-effects linear regression: Daniel Klein and Ariel Linden
R2C: Stata module to compute several fit statistics for count data models: Joseph Luchman
R2NLSUR: Stata module to perform Overall System (NL-SUR) System R2, Adj. R2, F-Test, and Chi2-Test: Emad Shehata
R2O: Stata module to calculate an ordinal explained variation statistic: Mike Lacy
R2REG3: Stata module to compute System R2, Adj. R2, F-Test, and Chi2-Test after reg3 or sureg: Emad Shehata
R2SEM: Stata module to perform Overall System Structural Equation Modeling (SEM) R2, Adj. R2, F-Test, and Chi2-Test: Emad Shehata
R2VAR: Stata Module to Compute (VAR) Overall System R2, F-Test, and Chi2-Test: Emad Shehata and Sahra Mickaiel
R_ML_STATA_CV: Stata module to implement machine learning regression in Stata: Giovanni Cerulli
R_TO_D: Stata module for converting Pearson's r to Cohen's d: Ariel Linden
RADAR: Stata module to draw radar (spider) plots: Adrian Mander
RADF: Stata module to calculate unit root tests for explosive behaviour: Jesus Otero and Christopher Baum
RADIUSMATCH: Stata module to perform distance-weighted radius matching with bias adjustment: Martin Huber, Michael Lechner and Andreas Steinmayr
RAEWMA: Stata module to plot the risk adjusted exponentially weighted moving average: Brent McSharry
RALPHA: Stata module to generate pseudo-random characters or words: Eric Booth
RANDCMD: Stata module to compute randomization inference p-values: Alwyn Young
RANDCMDCI: Stata module to produce robust randomization-t p-values and confidence intervals for regression coefficients: Alwyn Young
RANDCOEF: Stata module to estimate correlated random effects and correlated random coefficients models: Oscar Barriga-Cabanillas, Jeffrey Michler, Aleksandr Michuda and Emilia Tjernström
RANDINF: Stata module to calculate the treatment effect and p-value of a stratified randomized controlled experiment: John Ternovski
RANDMARKOVSEQ: Stata module to compute a random sequence of values from an underlying discrete time Markov chain: Ariel Linden
RANDOMID: Stata module to identify every observation in the dataset with random alphanumeric characters: Raúl Torres
RANDOMIZE: Stata module to create random assignments for experimental trials, including blocking, balance checking, and automated rerandomization: Chris Kennedy and Christopher B. Mann
RANDOMIZR: Stata module to implement random assignment procedures: John Ternovski and Alex Coppock
RANDOMSELECT: Stata module to randomly select and tag observations: Sean Higgins
RANDOMTAG: Stata module to draw observations without replacement: Robert Picard
RANDTREAT: Stata module to randomly assign treatments uneven treatments and deal with misfits: Alvaro Carril
RANDTREATSEQ: Stata module for generating treatments in a random sequence for each individual in the sample: Ariel Linden
RANGEJOIN: Stata module to form pairwise combinations if a key variable is within range: Robert Picard
RANGERUN: Stata module to run Stata commands on observations within range: Robert Picard and Nicholas Cox
RANGESTAT: Stata module to generate statistics using observations within range: Robert Picard, Nicholas Cox and Roberto Ferrer
RANKSEG: Stata module to compute rank-order segregation measures with finite sample-bias correction: Sean F. Reardon and Joseph B. Townsend
RANKTEST: Stata module to test the rank of a matrix: Frank Kleibergen, Mark Schaffer and Frank Windmeijer
RANMIXTURE: RATS procedure to perform random draws from a mixture of Normals: Tom Doan
RANOVA: Stata module to estimate single factor repeated measures ANOVA: Joseph Hilbe
RANVAR: Stata module to compute the random group variance estimator of the mean for survey data: Frauke Kreuter
RAS: Stata module to implement biproportional scaling (RAS) method: P.S. Xia
RASCHCVT: Stata module to produce data in WINSTEPS format: Fred Wolfe
RASCHFIT: Stata module to implement the Raschfit algorithm defined by Hardouin and Mesbah (2004): Jean-Benoit Hardouin
RASCHIFY: Stata module to transform 1PL model estimates to Rasch metric: Rafal Raciborski
RASCHPOWER: Stata module to estimate power of the Wald test in order to compare the means of the latent trait in two groups of individuals: Jean-Benoit Hardouin and Myriam Blanchin
RASCHTEST: Stata module to estimate parameters of the Rasch model by CML, MML or GEE: Jean-Benoit Hardouin
RASCHTESTV7: Stata module to estimate parameters of the Rasch model by CML, MML or GEE (v7): Jean-Benoit Hardouin
RASPRT: Stata module to plot the risk adjusted sequential probability ratio test (+/- risk adjusted cusum): Brent McSharry
RASSIGN: Stata module to perform regression-based test for random assignment to peer groups: Koen Jochmans and Vincenzo Verardi
RATIO_PLOT: Stata module to plot ratios and confidence intervals of specified variables: Kabira Namit and Zaeen de Souza
RATS program to calculate optimal portfolios: Tom Doan
RATS program to demonstate robust estimation techniques in a linear model: Tom Doan
RATS program to demonstrate Arellano-Bond estimator for dynamic panel model: Tom Doan