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RRreg (version 0.5.0)

Correlation and Regression Analyses for Randomized Response Data

Description

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.

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Install

install.packages('RRreg')

Monthly Downloads

346

Version

0.5.0

License

GPL-2

Maintainer

Last Published

November 12th, 2015

Functions in RRreg (0.5.0)