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), as predictors in a linear regression, or as dependent variable in a beta-binomial ANOVA. For simulation and bootstrap purposes, RR data can be generated according to several models.
| Version: | 0.6.2 |
| Depends: | R (≥ 3.0.0) |
| Imports: | parallel, doParallel, foreach, stats, grDevices, graphics, lme4 |
| Suggests: | knitr |
| Published: | 2017-03-08 |
| Author: | Daniel W. Heck [aut, cre], Morten Moshagen [aut] |
| Maintainer: | Daniel W. Heck <heck at uni-mannheim.de> |
| License: | GPL-2 |
| URL: | http://psycho3.uni-mannheim.de/Home/Research/Software/RRreg/ |
| NeedsCompilation: | no |
| Citation: | RRreg citation info |
| Materials: | NEWS |
| CRAN checks: | RRreg results |
| Reference manual: | RRreg.pdf |
| Vignettes: |
An Introduction to the RRreg package |
| Package source: | RRreg_0.6.2.tar.gz |
| Windows binaries: | r-devel: RRreg_0.6.2.zip, r-release: RRreg_0.6.2.zip, r-oldrel: RRreg_0.6.2.zip |
| OS X El Capitan binaries: | r-release: RRreg_0.6.2.tgz |
| OS X Mavericks binaries: | r-oldrel: RRreg_0.6.2.tgz |
| Old sources: | RRreg archive |
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