RRreg: Correlation and Regression Analyses of Randomized Response Designs

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: 0.1.3
Depends: R (≥ 3.0.0)
Imports: parallel, doParallel, foreach
Suggests: knitr
Published: 2014-09-20
Author: Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer: Daniel W. Heck <dheck at mail.uni-mannheim.de>
License: GPL-2
URL: https://dl.dropboxusercontent.com/u/21456540/RRreg/index.html
NeedsCompilation: no
Citation: RRreg citation info
Materials: NEWS
CRAN checks: RRreg results

Downloads:

Reference manual: RRreg.pdf
Vignettes: An Introduction to the RRreg package
Package source: RRreg_0.1.3.tar.gz
Windows binaries: r-devel: RRreg_0.1.3.zip, r-release: RRreg_0.1.3.zip, r-oldrel: RRreg_0.1.3.zip
OS X Snow Leopard binaries: r-release: RRreg_0.1.3.tgz, r-oldrel: RRreg_0.1.3.tgz
OS X Mavericks binaries: r-release: RRreg_0.1.3.tgz