rr: Statistical Methods for the Randomized Response Technique
Version 1.4

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 .

Browse man pages Browse package API and functions Browse package files

AuthorGraeme Blair [aut, cre], Yang-Yang Zhou [aut, cre], Kosuke Imai [aut, cre], Winston Chou [ctb]
Date of publication2016-08-17 00:49:19
MaintainerGraeme Blair <graeme.blair@ucla.edu>
LicenseGPL (>= 3)
Version1.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rr")

Man pages

Nigeria: Nigeria Randomized Response Survey Experiment on Social...
nigeria-data: Nigeria Randomized Response Survey Experiment on Social...
power.rr.plot: Power Analysis Plot for Randomized Response
power.rr.test: Power Analysis for Randomized Response
predict.rrreg: Predicted Probabilities for Randomized Response Regression
predict.rrreg.predictor: Predicted Probabilities for Randomized Response as a...
rr-package: R Package for the Randomized Response Technique
rrreg: Randomized Response Regression
rrreg.bayes: Bayesian Randomized Response Regression
rrreg.predictor: Randomized Response as a Regression Predictor

Functions

as.list.rrreg.bayes Source code
coef.rrreg Source code
coef.rrreg.bayes Source code
coef.rrreg.bayes.list Source code
coef.rrreg.predictor Source code
logistic Source code Source code Source code
nigeria Man page
nigeria-data Man page
power.rr.plot Man page Source code
power.rr.test Man page Source code
predict.rrreg Man page Source code
predict.rrreg.predictor Man page Source code
print.rrreg Source code
print.rrreg.predictor Source code
print.summary.rrreg Source code
print.summary.rrreg.bayes Source code
print.summary.rrreg.bayes.list Source code
print.summary.rrreg.predictor Source code
rr Man page
rr-package Man page
rrbayes.fit Source code
rrbayesmixed.fit Source code
rrcd Source code
rrreg Man page Source code
rrreg.bayes Man page Source code
rrreg.predictor Man page Source code
sd.rrreg.bayes Source code
sd.rrreg.bayes.list Source code
summarize.design Source code
summary.rrreg Source code
summary.rrreg.bayes Source code
summary.rrreg.bayes.list Source code
summary.rrreg.predictor Source code
vcov.rrreg Source code
vcov.rrreg.bayes Source code
vcov.rrreg.bayes.list Source code
vcov.rrreg.predictor Source code

Files

inst
inst/CITATION
tests
tests/testthat.R
tests/testthat
tests/testthat/test-power.R
tests/testthat/test-bayes.R
tests/testthat/test-rrreg.R
tests/testthat/test-bayes-mixed.R
tests/testthat/test-rrreg-predictor.R
src
src/Makevars
src/rand.h
src/rand.c
src/subroutines.c
src/vector.c
src/R2models.c
src/vector.h
src/subroutines.h
src/models.h
src/models.c
NAMESPACE
data
data/nigeria.RData
R
R/rrreg.predictor.R
R/power.R
R/onAttach.R
R/rr.R
R/rr-package.R
R/nigeria-data.R
R/rrBayes.R
MD5
DESCRIPTION
ChangeLog
man
man/rrreg.predictor.Rd
man/power.rr.test.Rd
man/rr-package.Rd
man/predict.rrreg.Rd
man/rrreg.Rd
man/nigeria-data.Rd
man/rrreg.bayes.Rd
man/predict.rrreg.predictor.Rd
man/Nigeria.Rd
man/power.rr.plot.Rd
rr documentation built on May 19, 2017, 8:15 p.m.