RRreg: Randomized Response

RRreg allows for univariate and multivariate analyses of randomized response (RR) designs. RR designs are used in surveys to obtain valid prevalence estimates of sensitive attributes (e.g., cocaine abuse) by ensuring complete anonymity of the respondents. An overview of the RR designs available in RRreg as well as examples can be found in our paper:

  • 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

Further examples and model details are illustrated in the package vignette: RRreg Vignette

RRreg is a package for the R statistics environment and can be installed by typing the following in an active R session (Link to CRAN):

install.packages('RRreg')

Alternatively, the latest development version can be installed from GitHub.

Please send questions/comments/suggestions to heck@uni-mannheim.de