Statistical Software Components

From Boston College Department of Economics
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Bibliographic data for series maintained by Christopher F Baum ().

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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
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