rr: Statistical Methods for the Randomized Response Technique

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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 <http://graemeblair.com/papers/randresp.pdf>.

Author
Graeme Blair [aut, cre], Yang-Yang Zhou [aut, cre], Kosuke Imai [aut, cre], Winston Chou [ctb]
Date of publication
2016-08-17 00:49:19
Maintainer
Graeme Blair <graeme.blair@ucla.edu>
License
GPL (>= 3)
Version
1.4

View on CRAN

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

Files in this package

rr
rr/inst
rr/inst/CITATION
rr/tests
rr/tests/testthat.R
rr/tests/testthat
rr/tests/testthat/test-power.R
rr/tests/testthat/test-bayes.R
rr/tests/testthat/test-rrreg.R
rr/tests/testthat/test-bayes-mixed.R
rr/tests/testthat/test-rrreg-predictor.R
rr/src
rr/src/Makevars
rr/src/rand.h
rr/src/rand.c
rr/src/subroutines.c
rr/src/vector.c
rr/src/R2models.c
rr/src/vector.h
rr/src/subroutines.h
rr/src/models.h
rr/src/models.c
rr/NAMESPACE
rr/data
rr/data/nigeria.RData
rr/R
rr/R/rrreg.predictor.R
rr/R/power.R
rr/R/onAttach.R
rr/R/rr.R
rr/R/rr-package.R
rr/R/nigeria-data.R
rr/R/rrBayes.R
rr/MD5
rr/DESCRIPTION
rr/ChangeLog
rr/man
rr/man/rrreg.predictor.Rd
rr/man/power.rr.test.Rd
rr/man/rr-package.Rd
rr/man/predict.rrreg.Rd
rr/man/rrreg.Rd
rr/man/nigeria-data.Rd
rr/man/rrreg.bayes.Rd
rr/man/predict.rrreg.predictor.Rd
rr/man/Nigeria.Rd
rr/man/power.rr.plot.Rd