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) and 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').Details
ll{
Package: RRreg
Type: Package
Version: 0.4.1
Date: 2015-07-24
Depends: R (>= 3.0.0)
Imports: parallel, doParallel, foreach
Suggests: knitr
License: GPL-2
URL: http://psycho3.uni-mannheim.de/Home/Research/Software/
}References
Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69.