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RRreg (version 0.6.1)

RRreg-package: Correlation and Regression Analyses for Randomized Response Designs

Description

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').

Arguments

Details

Package:
RRreg
Type:
Package
Version:
0.6.0
Date:
2015-12-14
Depends:
R (>= 3.0.0)
Imports:
parallel, doParallel, foreach, stats, grDevices, graphics, lme4
Suggests:
knitr
License:
GPL-2
URL:
http://psycho3.uni-mannheim.de/Home/Research/Software/RRreg

References

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