RRreg provides 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). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression and as predictors in a linear regression. For simulation and bootstrap purposes, RR data can be generated according to several models.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | parallel, doParallel, foreach |
| Suggests: | knitr |
| Published: | 2014-11-18 |
| Author: | Daniel W. Heck [aut, cre], Morten Moshagen [aut] |
| Maintainer: | Daniel W. Heck <dheck at mail.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_0.2.0.tar.gz |
| Windows binaries: | r-devel: RRreg_0.2.0.zip, r-release: RRreg_0.2.0.zip, r-oldrel: RRreg_0.2.0.zip |
| OS X Snow Leopard binaries: | r-release: RRreg_0.2.0.tgz, r-oldrel: RRreg_0.2.0.tgz |
| OS X Mavericks binaries: | r-release: RRreg_0.2.0.tgz |
| Old sources: | RRreg archive |