Package: RRreg
Type: Package
Title: Correlation and Regression Analyses for Randomized Response Data
Authors@R: c(person( given="Daniel
    W.",family="Heck",email="dheck@mail.uni-mannheim.de", role=c("aut","cre")),
    person(given="Morten",family="Moshagen",email="moshagen@uni-mannheim.de",
    rol=c("aut")))
Author: Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer: Daniel W. Heck <dheck@mail.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).
    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: 0.5.0
Date: 2015-11-12
RoxygenNote: 5.0.0
NeedsCompilation: no
Packaged: 2015-11-12 10:45:43 UTC; Daniel
Repository: CRAN
Date/Publication: 2015-11-12 13:08:45
