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), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis of cheating paradigms. Behavior Research Methods, 49, 724–732, <doi:10.3758/s13428-016-0729-x>).

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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 (>= 3.5.0)
Imports
parallel, doParallel, foreach, stats, grDevices, graphics, lme4
Suggests
knitr, R.rsp
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), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, ). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis of cheating paradigms. Behavior Research Methods, 49, 724–732, ).
License
GPL-3
Encoding
UTF-8
LazyLoad
yes
URL
VignetteBuilder
knitr, R.rsp
Version
0.6.9
Date
2018-07-26
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-07-26 09:55:17 UTC; Daniel
Repository
CRAN
Date/Publication
2018-07-26 11:30:03 UTC

install.packages('RRreg')

0.6.9

18 days ago

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

Daniel W. Heck

GPL-3

Depends on

R (>= 3.5.0)

Imports

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

Suggests

knitr, R.rsp

Discussions