RRreg (0.7.0)
Correlation and Regression Analyses for Randomized Response Data.
http://psycho3.unimannheim.de/Home/Research/Software/RRreg/
http://cran.rproject.org/web/packages/RRreg
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, 6369, ). 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), 129, ). 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 cointoss or diceroll task (Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis of cheating paradigms. Behavior Research Methods, 49, 724732, ).
Maintainer:
Daniel Heck
Author(s): Daniel W. Heck [aut, cre], Morten Moshagen [aut]
License: GPL3
Uses: doParallel, foreach, lme4, R.rsp, knitr
Released 8 months ago.
14 previous versions
 RRreg_0.6.9. Released 9 months ago.
 RRreg_0.6.8. Released 11 months ago.
 RRreg_0.6.7. Released about 1 year ago.
 RRreg_0.6.6. Released about 1 year ago.
 RRreg_0.6.5. Released about 1 year ago.
 RRreg_0.6.4. Released over 1 year ago.
 RRreg_0.6.2. Released about 2 years ago.
 RRreg_0.6.1. Released over 3 years ago.
 RRreg_0.6.0. Released over 3 years ago.
 RRreg_0.5.0. Released over 3 years ago.
 RRreg_0.4.1. Released over 3 years ago.
 RRreg_0.3.0. Released about 4 years ago.
 RRreg_0.2.0. Released over 4 years ago.
 RRreg_0.1.3. Released over 4 years ago.
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