Statistical Software Components

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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
ROCMIC: Stata module to estimate minimally important change (MIC) thresholds for continuous clinical outcome measures using ROC curves: Robert Froud
ROCSS: Stata module to calculate ROC curve and other statistics for any classification method: Nicola Orsini and Matteo Bottai
ROCTABI: Stata module for performing nonparametric ROC analysis using summarized data: Ariel Linden
ROLLING2: Stata module to perform rolling window and recursive estimation: Christopher Baum
ROLLING3: Stata module to compute predicted values for rolling regressions: Muhammad Rashid Ansari
ROLLREG: RATS module to perform rolling and moving-window regressions: Simon van Norden
ROLLREG: RATS procedure to compute rolling regressions for least squares: Tom Doan
ROLLREG: Stata module to perform rolling regression estimation: Christopher Baum
ROLLSTAT: Stata module to compute rolling-window statistics for time series or panel data: Máximo Sangiácomo and Demian Panigo
ROMAN: Stata module for handling Roman numerals and decimal equivalents: Nicholas Cox
ROMANTOARABIC: Stata module for converting roman numerals to arabic numbers: Nicholas Cox
RORI: Stata module for estimation of selection bias through relative odds ratio (ROR) with large sample confidence interval: Niels Henrik Bruun
ROS: Stata module for estimation of regression order statistics: Niels Henrik Bruun
ROSALI: Stata module to detect of response shift at item-level between two times of measurement: Myriam Blanchin and Priscilla Brisson
ROSNER: Stata module implementing Rosner's generalized extreme studentized deviate (ESD) procedure to detect multiple outliers: Ariel Linden
ROTATE2: Stata module to produce sorted and labeled rotated matrix: Daniel Klein
ROWMAT_UTILS: Stata module to perform parallel computation on sequences of matrices in Mata: Matthew Baker
ROWRANKS: Stata module to create row ranks of a set of variables: Nicholas Cox
ROWSORT: Stata module to row sort a set of integer variables: Nicholas Cox
ROWSUM: Stata module for summing up values of observations and saving results to a new observation: Pengzhan Qian
RPAXIOMS: Stata module to test and evaluate axioms of revealed preferences: Marcos Demetry, Per Hjertstrand and Matthew Polisson
RPME: Stata module to compute Robust Pareto midpoint estimator: Paul von Hippel and Daniel Powers
RPNFCN: Stata module to provide a Mata generic function evaluator based on Reverse Polish Notation: Henrik Stovring
RQ: RATS module to generate regression quantile: Eric Blankmeyer
RQ: Stata module to compute Reynal-Querol index of ethnic polarization: Carlos Gradín
RQR: Stata module to estimate the residualized quantile regression model: Nicolai T. Borgen, Andreas Haupt and Øyvind Wiborg
RQRS: Stata module to install required community-contributed packages: Daniel Klein
RRCALC: Stata module to calculate AAPOR compliant response rates: Kai Willem Weyandt and Lars Kaczmirek
RRGQTEST: RATS procedure to compute a Goldfeld-Quandt test on recursive residuals: Tom Doan
RRLOGIT: Stata module to estimate logistic regression for randomized response data: Ben Jann
RRP: Stata module to compute Rescaled Regression Prediction (RRP) using two samples: Stavros Poupakis
RRR: Stata module to perform Reduced rank regression: Bang Zheng and Canqing Yu
RRREG: Stata module to estimate linear probability model for randomized response data: Ben Jann
RSCORE: Stata module for estimation of responsiveness scores: Giovanni Cerulli
RSCRIPT: Stata module to call an R script from Stata: David Molitor and Julian Reif
RSENS: Stata module to perform sensitivity analysis after matching with multiple nearest neighbours: Sunil Mitra Kumar
RSGT: Stata module to generate skewed generalized t random numbers: Jake Orchard
RSOORT: Stata module to perform Oort's Structural Equations Modeling (SEM) based procedure to detect Response Shift: Jean-Benoit Hardouin
RSORT: Stata module to perform reproducible random sorting of dataset: Phil Clayton
RSOURCE: Stata module to run R from inside Stata using an R source file: Roger Newson