RRreg (0.6.2)

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Correlation and Regression Analyses for Randomized Response Data.

http://psycho3.uni-mannheim.de/Home/Research/Software/RRreg/
http://cran.r-project.org/web/packages/RRreg

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, 6369). 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.

Maintainer: Daniel Heck
Author(s): Daniel W. Heck [aut, cre], Morten Moshagen [aut]

License: GPL-2

Uses: doParallel, foreach, lme4, knitr

Released about 1 month ago.


7 previous versions

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