Statistical Software Components

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RFOREST: Stata module to implement Random Forest algorithm: Rosie Yuyan Zou and Matthias Schonlau
RFREGK: Stata module to estimate random-effects model with weights: Kevin McKinney
RGB2: Stata module to generate GB2 random numbers: Jake Orchard
RGLM: Stata module to estimate robust generalized linear models: Roger Newson
RGROUP: Stata module for Random Group Variance Estimation: Ulrich Kohler
RGSE: RATS procedure to compute fractional differencing parameter using semiparametric methods: Tom Doan
RHAUSMAN: Stata module to perform Robust Hausman Specification Test: Boris Kaiser
RHO_XTREGAR: Stata module to estimate a consistent and asymptotically unbiased autocorrelation coefficient for xtregar fixed-effects or random-effects linear model with an AR(1) disturbance: Alexandre Cazenave-Lacroutz and Vieu Lin
RHSBSAMPLE: Stata module for repeated half-sample bootstrap sampling: Philippe Van Kerm
RICHNESS: Stata module to compute measures of income richness: Andreas Peichl and Thilo Schaefer
RIDDER: Stata module to solve equation by Ridder's method: Tim McGuire
RIDGE2SLS: Stata module to compute Two-Stage Least Squares (2SLS) Ridge & Weighted Regression: Emad Shehata and Sahra Mickaiel
RIDGELINE: Stata module to produce ridgeline plots: Asjad Naqvi
RIDGELINE_PLOT: Stata module to produce ridgeline plots: Fernando Rios-Avila
RIDGEREG: Stata module to compute Ridge Regression Models: Emad Shehata
RIF: Stata module to compute Recentered Influence Functions (RIF): RIF-Regression and RIF-Decomposition: Fernando Rios-Avila
RIFLE: Stata module to perform Randomization Inference for Leader Effects: Christopher Berry and Anthony Fowler
RIFLOGIT: Stata module to fit unconditional logistic regression: Ben Jann
RII: Stata module to perform Repeated-Imputation Inference: David Robinson and Dan Blanchette
RIIGEN: Stata module to generate Variables to Compute the Relative Index of Inequality: Lars E. Kroll
RIOC: Stata module to compute Relative improvement over chance (RIOC): Daniel Klein
RITEST: Stata module to perform randomization inference and permutation tests: Simon Heß
RKQTE: Stata module for estimation and robust inference for quantile treatment effects (QTE) in regression kink designs (RKD): Heng Chen, Harold Chiang and Yuya Sasaki
RMANOVA: Stata module to estimate repeated measures ANOVA: George M. Hoffman
RMCLASS: Stata module to compute classification statistics for data with repeated measures: Ariel Linden
RMCORR: Stata module to compute a correlation for data with repeated measures: Ariel Linden
RMFILES: Stata module to provide a convenient way to remove matched files within a specified directory and possibly, if applicable, corresponding empty directories (which will also, if wanted, be applied recursively to a matched subset of offspring-directories): Lars Angquist
RMHBOUNDS: Stata module to refine mhbounds to remove the cap on the number of strata and replace the large sample approximation for E and V with exact moments: Daniel Litwok
RMLOA: Stata module to compute limits of agreement for data with repeated measures: Ariel Linden
RMPW: Stata module to implement the RMPW method of causal mediation analysis to decompose treatment effects into "direct" and "indirect" effects: Jonah Deutsch, Matthew Jacobus and Alma Vigil
RMSE: Stata module to calculate raw or adjusted RMSE (Root MSE): Roy Wada
RND: Stata modules for random number generation: Joseph Hilbe
ROBBOX: Stata module to compute generalized box plots: Ben Jann, Vincenzo Verardi and Catherine Vermandele
ROBINSON: Stata module to compute Robinson's coefficient of agreement: Ariel Linden
ROBIT: Stata module to estimate robit regression for binary outcomes: Roger Newson and Milena Falcaro
ROBLGT: RATS module to estimate binomial logit robustly: Eric Blankmeyer
ROBLPR: Stata module to estimate long memory in a set of timeseries: Christopher Baum and Vince Wiggins
ROBMV: Stata module for robust multivariate estimation of location and covariance: Ben Jann, Vincenzo Verardi and Catherine Vermandele
ROBNOVA: Stata module to calculate two robust ANOVA statistics, Welch's and Brown-Forsythe's: David Speed
ROBPC: RATS module to compute robust correlation matrix: Eric Blankmeyer
ROBREG10: Stata module providing robust regression estimators: Ben Jann
ROBREG: RATS module to estimate regression robustly and reliably: Eric Blankmeyer
ROBREG: Stata module providing robust regression estimators: Ben Jann
ROBSCALE: RATS module to compute robust alternative to standard deviation: Eric Blankmeyer
ROBSKEW: RATS module for computation of quartile skewness measure: Eric Blankmeyer
ROBSTAT: Stata module to compute robust univariate statistics: Ben Jann, Vincenzo Verardi and Catherine Vermandele
ROBUMETA: Stata module to perform robust variance estimation in meta-regression with dependent effect size estimates: Eric Hedberg
ROBUSTATE: Stata module for estimation and inference for the average treatment effect (ATE) robustly against the limited overlap: Yuya Sasaki and Takuya Ura
ROBUSTLMTEST: RATS procedure to perform robust LM test for orthogonality of residuals and input series: Tom Doan
ROBUSTPF: Stata module for robust estimation of production functions with errors in proxy variables: Yingyao Hu, Guofang Huang and Yuya Sasaki