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rr (version 1.4.2)

Statistical Methods for the Randomized Response Technique

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 .

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Version

Install

install.packages('rr')

Monthly Downloads

238

Version

1.4.2

License

GPL (>= 3)

Maintainer

Last Published

January 16th, 2024

Functions in rr (1.4.2)

rrreg.predictor

Randomized Response as a Regression Predictor
rrreg.bayes

Bayesian Randomized Response Regression
rrreg

Randomized Response Regression
nigeria

Nigeria Randomized Response Survey Experiment on Social Connections to Armed Groups
power.rr.test

Power Analysis for Randomized Response
nigeria-data

Nigeria Randomized Response Survey Experiment on Social Connections to Armed Groups
rr-package

R Package for the Randomized Response Technique
predict.rrreg.predictor

Predicted Probabilities for Randomized Response as a Regression Predictor
predict.rrreg

Predicted Probabilities for Randomized Response Regression
power.rr.plot

Power Analysis Plot for Randomized Response