RRreg-package | R Documentation |

Univariate and multivariate methods for randomized response (RR) survey designs (e.g., Warner, 1965). Univariate estimates of true proportions can be obtained using `RRuni`

. RR variables can be used in multivariate analyses for correlations (`RRcor`

), as dependent variable in a logistic regression (`RRlog`

), or as predictors in a linear regression (`RRlin`

). The function `RRgen`

generates single RR data sets, whereas `RRsimu`

generates and analyzes RR data repeatedly for simulation and bootstrap purposes. An overview of the available RR designs and examples can be found in the package vignette by `vignette('RRreg')`

.

Package: | RRreg |

Type: | Package |

Depends: | R (>= 3.0.0) |

Imports: | parallel, doParallel, foreach, stats, grDevices, graphics, lme4 |

Suggests: | knitr |

License: | GPL-2 |

URL: | https://www.sowi.uni-mannheim.de/en/erdfelder/research/software/rrreg/ |

If you use `RRreg`

in publications, please cite the package as follows:

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

Daniel W. Heck daniel.heck@uni-marburg.de and Morten Moshagen morten.moshagen@uni-ulm.de

Warner, S. L. (1965). Randomized response: A survey technique for eliminating
evasive answer bias. *Journal of the American Statistical Association, 60*, 63–69.

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