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-3
Encoding: UTF-8
LazyLoad: yes
URL: http://psycho3.uni-mannheim.de/Home/Research/Software/RRreg/
VignetteBuilder: knitr
Version: 0.6.5
Date: 2018-02-11
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-11 14:24:39 UTC; Daniel
Repository: CRAN
Date/Publication: 2018-02-11 14:50:36 UTC
