danheck/RRreg: Correlation and Regression Analyses for Randomized Response Data
Version 0.6.7

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, 63–69). 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), as predictors in a linear regression, or as dependent variable in a beta-binomial ANOVA. For simulation and bootstrap purposes, RR data can be generated according to several models.

Getting started

Package details

AuthorDaniel W. Heck [aut, cre], Morten Moshagen [aut]
MaintainerDaniel W. Heck <[email protected]>
LicenseGPL-3
Version0.6.7
URL http://psycho3.uni-mannheim.de/Home/Research/Software/RRreg/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("danheck/RRreg")
danheck/RRreg documentation built on April 8, 2018, 5:48 p.m.