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RRreg (version 0.4.1)

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 and as predictors in a linear regression. For simulation and bootstrap purposes, RR data can be generated according to several models.

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Version

Install

install.packages('RRreg')

Monthly Downloads

336

Version

0.4.1

License

GPL-2

Maintainer

Daniel W Heck

Last Published

July 28th, 2015

Functions in RRreg (0.4.1)

RRuni

Univariate analysis of randomized response data
plot.powerplot

Plot power of multivariate RR methods
RRlin

Linear randomized response regression
RRsimu

Monte Carlo simulation for one or two RR variables
powerplot

Power plots for multivariate RR methods
RRgen

Generate randomized response data
predict.RRlog

Predict Individual Prevalences of the RR Attribute
plot.RRlog

Plot Logistic RR Regression
RRcor

Bivariate correlations including randomized response variables
RRlog

Logistic randomized response regression
RRreg-package

Correlation and Regression Analyses for Randomized Response Designs