RRreg

Correlation and Regression Analyses for Randomized Response Data

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.

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Description file content

Package
RRreg
Type
Package
Title
Correlation and Regression Analyses for Randomized Response Data
Author
Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer
Daniel W. Heck
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-3
Encoding
UTF-8
LazyLoad
yes
URL
VignetteBuilder
knitr
Version
0.6.7
Date
2018-04-03
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-04-03 11:05:06 UTC; Daniel
Repository
CRAN
Date/Publication
2018-04-04 11:25:37 UTC

install.packages('RRreg')

0.6.7

a month ago

http://psycho3.uni-mannheim.de/Home/Research/Software/RRreg/

Daniel W. Heck

GPL-3

Depends on

R (>= 3.0.0)

Imports

parallel, doParallel, foreach, stats, grDevices, graphics, lme4

Suggests

knitr

Discussions