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RRreg: Correlation and Regression Analyses for Randomized Response Data

Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69, <doi:10.2307/2283137>). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis of cheating paradigms. Behavior Research Methods, 49, 724–732, <doi:10.3758/s13428-016-0729-x>).

Version: 0.7.5
Depends: R (≥ 3.5.0)
Imports: parallel, doParallel, foreach, stats, grDevices, graphics, lme4
Suggests: rmarkdown, knitr, R.rsp
Published: 2022-11-25
DOI: 10.32614/CRAN.package.RRreg
Author: Daniel W. Heck ORCID iD [cre, aut], Morten Moshagen [ctb]
Maintainer: Daniel W. Heck <daniel.heck at uni-marburg.de>
License: GPL-3
URL: https://github.com/danheck/RRreg
NeedsCompilation: no
Citation: RRreg citation info
Materials: NEWS
In views: OfficialStatistics
CRAN checks: RRreg results

Documentation:

Reference manual: RRreg.pdf
Vignettes: RRreg: Correlation and regression analysis for randomized response designs
Heck & Moshagen (2018): RRreg paper (Journal of Statistical Software)

Downloads:

Package source: RRreg_0.7.5.tar.gz
Windows binaries: r-devel: RRreg_0.7.5.zip, r-release: RRreg_0.7.5.zip, r-oldrel: RRreg_0.7.5.zip
macOS binaries: r-release (arm64): RRreg_0.7.5.tgz, r-oldrel (arm64): RRreg_0.7.5.tgz, r-release (x86_64): RRreg_0.7.5.tgz, r-oldrel (x86_64): RRreg_0.7.5.tgz
Old sources: RRreg archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.