Statistical Software Components

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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
RALLOC: Stata module to design randomized controlled trials: Philip Ryan
RALPHA: Stata module to generate pseudo-random characters or words: Eric Booth
RANDINF: Stata module to calculate the treatment effect and p-value of a stratified randomized controlled experiment: John Ternovski
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
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
RANKTEST: Stata module to test the rank of a matrix using the Kleibergen-Paap rk statistic: Frank Kleibergen and Mark Schaffer
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
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
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
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
RATS program to demonstrate Bai, Lumsdaine, Stock common breaks in VAR: Tom Doan
RATS program to demonstrate Bayesian VAR estimation: Tom Doan
RATS program to demonstrate block causality tests in a VAR: Tom Doan
RATS program to demonstrate bootstrapping applied to Granger causality test: Tom Doan
RATS program to demonstrate bootstrapping on a multivariate GARCH model: Tom Doan
RATS program to demonstrate bootstrapping spectral density estimates: Tom Doan
RATS program to demonstrate bootstrapping with a GARCH model: Tom Doan
RATS program to demonstrate bootstrapping with a VAR: Tom Doan
RATS program to demonstrate bootstrapping with a VECM: Tom Doan
RATS program to demonstrate bootstrapping with an ARMA model: Tom Doan
RATS program to demonstrate bootstrapping with an E-GARCH model: Tom Doan
RATS program to demonstrate bootstrapping with cointegration: Tom Doan
RATS program to demonstrate calculation of an arranged autoregression: Tom Doan
RATS program to demonstrate conditional forecasting with a VAR: Tom Doan
RATS program to demonstrate contour graph: Tom Doan
RATS program to demonstrate Durbin's Cumulated Periodogram test for serial correlation: Tom Doan
RATS program to demonstrate estimation of a stochastic volatility model: Tom Doan
RATS program to demonstrate estimation of an ARMAX model: Tom Doan
RATS program to demonstrate estimation of structural VAR's: Tom Doan
RATS program to demonstrate forecasting an E-GARCH model using random simulations: Tom Doan
RATS program to demonstrate forecasting using spectral techniques: Tom Doan
RATS program to demonstrate frequency domain deseasonalization: Tom Doan
RATS program to demonstrate Gibbs Sampling applied to a Bayesian VAR: Tom Doan