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

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

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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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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