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
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 and as
    predictors in a linear regression. 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: 0.4.1
Date: 2015-07-24
NeedsCompilation: no
Packaged: 2015-07-24 15:53:33 UTC; Daniel
Repository: CRAN
Date/Publication: 2015-07-28 23:19:02
