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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