Correlation and Regression Analyses of Randomized Response
Designs
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")))
Daniel W. Heck [aut, cre], Morten Moshagen [aut]
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.
'RRcheck.R' 'RRcor.models.R' 'RRcor.R' 'RRgen.R'
'RRlin.getPW.R' 'RRlin.ll.R' 'RRlin.R' 'RRlog.CDM.R'
'RRlog.FR.R' 'RRlog.Kuk.R' 'RRlog.Mangat.R' 'RRlog.R'
'RRlog.SLD.R' 'RRlog.UQTknown.R' 'RRlog.UQTunknown.R'
'RRlog.Warner.R' 'RRreg-package.R' 'RRsimu.R' 'RRuni.models.R'
'RRuni.R'

Correlation and Regression Analyses for Randomized Response Data
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")))
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.

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.