Package: rr 1.4.2

Graeme Blair

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>.

Authors:Graeme Blair [aut, cre], Yang-Yang Zhou [aut], Kosuke Imai [aut], Winston Chou [ctb]

rr_1.4.2.tar.gz
rr_1.4.2.tar.gz(r-4.7-arm64)rr_1.4.2.tar.gz(r-4.7-x86_64)rr_1.4.2.tar.gz(r-4.6-arm64)rr_1.4.2.tar.gz(r-4.6-x86_64)
rr_1.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
rr/json (API)

# Install 'rr' in R:
install.packages('rr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • nigeria - Nigeria Randomized Response Survey Experiment on Social Connections to Armed Groups

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

1.46 score 1 stars 29 scripts 209 downloads 1 mentions 5 exports 18 dependencies

Last updated from:5a82266c32. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK163
linux-devel-x86_64OK152
source / vignettesOK176
linux-release-arm64OK131
linux-release-x86_64OK144
wasm-releaseOK161

Exports:power.rr.plotpower.rr.testrrregrrreg.bayesrrreg.predictor

Dependencies:abindarmbootcodalatticelme4magicMASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulasrlang