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rr: Statistical Methods for the Randomized Response Technique

Enables researchers to conduct multivariate statistical analyses of survey data with randomized response technique items from several designs, including mirrored question, forced question, and unrelated question. This includes regression with the randomized response as the outcome and logistic regression with the randomized response item as a predictor. In addition, tools for conducting power analysis for designing randomized response items are included. The package implements methods described in Blair, Imai, and Zhou (2015) ”Design and Analysis of the Randomized Response Technique,” Journal of the American Statistical Association <https://graemeblair.com/papers/randresp.pdf>.

Version: 1.4.2
Depends: R (≥ 3.0.0), utils
Imports: MASS, arm, coda, magic
Suggests: testthat
Published: 2024-01-16
DOI: 10.32614/CRAN.package.rr
Author: Graeme Blair [aut, cre], Yang-Yang Zhou [aut], Kosuke Imai [aut], Winston Chou [ctb]
Maintainer: Graeme Blair <graeme.blair at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: rr citation info
Materials: ChangeLog
CRAN checks: rr results

Documentation:

Reference manual: rr.pdf

Downloads:

Package source: rr_1.4.2.tar.gz
Windows binaries: r-devel: rr_1.4.2.zip, r-release: rr_1.4.2.zip, r-oldrel: rr_1.4.2.zip
macOS binaries: r-release (arm64): rr_1.4.2.tgz, r-oldrel (arm64): rr_1.4.2.tgz, r-release (x86_64): rr_1.4.2.tgz, r-oldrel (x86_64): rr_1.4.2.tgz
Old sources: rr archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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