Package: rr
Version: 1.4.2
Title: Statistical Methods for the Randomized Response Technique
Authors@R: c(person("Graeme", "Blair", email = "graeme.blair@gmail.com", role = c("aut", "cre")),
             person("Yang-Yang", "Zhou", email = "yangyang.zhou@ubc.ca", role = c("aut")),
             person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut")),
             person("Winston", "Chou", email = "wchou@princeton.edu", role = c("ctb")))
Depends: R (>= 3.0.0), utils
Imports: MASS, arm, coda, magic
Description: 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>.
LazyLoad: yes
LazyData: yes
License: GPL (>= 3)
Suggests: testthat
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2026-07-04 15:37:39 UTC; root
Author: Graeme Blair [aut, cre], Yang-Yang Zhou [aut], Kosuke Imai
        [aut], Winston Chou [ctb]
Maintainer: Graeme Blair <graeme.blair@gmail.com>
Config/pak/sysreqs: cmake make
Repository: https://graemeblair.r-universe.dev
Date/Publication: 2024-01-17 02:41:43 UTC
RemoteUrl: https://github.com/cran/rr
RemoteRef: HEAD
RemoteSha: 5a82266c32877445c9c4e4c1f9dec00149a5f79b