Statistical Software Components

From Boston College Department of Economics
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA.
Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

Access Statistics for this software series.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

QQPLOT2: Stata module to produce quantile-quantile plot: Nicholas Cox
QQPLOT3: Stata module to plot the unweighted and weighted quantiles of one variable against the corresponding quantiles of another: Ariel Linden
QQPLOTG: Stata module to draw quantile-quantile plots, generalized to allow groups and plotting difference vs mean: Nicholas Cox
QQVALUE: Stata module to generate quasi-q-values by inverting multiple-test procedures: Roger Newson
QREG2: Stata module to perform quantile regression with robust and clustered standard errors: José António Machado, Paulo Parente and João Santos Silva
QREGPD: Stata module to perform Quantile Regression for Panel Data: Matthew Baker
QREGPLOT: Stata module for plotting coefficients of a Quantile Regression: Fernando Rios-Avila
QREGSEL: Stata module to estimate quantile regression corrected for sample selection: Ercio Muñoz Saavedra and Mariel Siravegna
QRISK2CMD: Stata module to run QRISK2 from within Stata: Roger Newson
QRKD: Stata module to estimate and produce robust inference for heterogeneous causal effects of a continuous treatment in quantile regression kink designs: Harold Chiang and Yuya Sasaki
QROWNAME: Stata module to extract lists of quoted row and column names from a matrix: Roger Newson
QRPROCESS: Stata module for quantile regression: fast algorithm, pointwise and uniform inference: Victor Chernozhukov, Ivan Fernandez-Val and Blaise Melly
QSIM: Stata module to produce variables for clarify routines: Fred Wolfe
QSTAT2: MATLAB function to compute Ljung-Box Q statistic: Christopher Baum
QSTAT: MATLAB module to calculate Ljung-Box q statistic: Ludwig Kanzler
QSUB: Stata module to emulate a cluster environment using your desktop PC: Adrian Sayers
QUADAS: Stata module to provide graphical depiction of quality assessment in diagnostic accuracy reviews: Ben Dwamena
QUAIDSCE: Stata module to estimate censored almost-ideal demand systems: Juan C. Caro, Grace Melo, José Alberto Molina and Juan Carlos Salgado
QUALTRICSLOAD: Stata module to download survey results from Qualtrics server and optionally convert to Stata dataset: Nicholas Winter
QUANDL: Stata module to obtain data from Quandl using the Quandl API: Felix Leung
QUANTIL2: Stata module to generate multivariate quantile plot: Nicholas Cox
QUANTILEREG: MATLAB function to estimate quantile regression: Shapour Mohammadi
QUANTILES: Stata module to categorize by quantiles: Rafael Osorio
QUARTIMAX: RATS procedure to perform factor rotation using quartimax criterion: Tom Doan
QUICKICC: Stata module to compute intraclass correlation and standard error calculation after xtmixed: Eric Hedberg
QUINE: Stata module providing a self-producing program: Matthew Baker
QV: Stata module to compute quasi-variances: Aspen Chen
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