Package: RRreg
Type: Package
Title: Correlation and Regression Analyses for Randomized Response Data
Authors@R: c(person( given="Daniel
    W.",family="Heck",email="heck@uni-mannheim.de", role=c("aut","cre")),
    person(given="Morten",family="Moshagen",email="morten.moshagen@uni-ulm.de",
    rol=c("aut")))
Author: Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>
Depends: R (>= 3.0.0)
Imports: parallel, doParallel, foreach, stats, grDevices, graphics,
        lme4
Suggests: knitr
Description: 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.
License: GPL-2
Encoding: UTF-8
LazyLoad: yes
URL: http://psycho3.uni-mannheim.de/Home/Research/Software/RRreg/
VignetteBuilder: knitr
Version: 0.6.2
Date: 2017-03-07
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-07 16:37:13 UTC; Daniel
Repository: CRAN
Date/Publication: 2017-03-08 08:22:11
