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rr  

Statistical Methods for the Randomized Response Technique
View on CRAN: Click here


Download and install rr package within the R console
Install from CRAN:
install.packages("rr")

Install from Github:
library("remotes")
install_github("cran/rr")

Install by package version:
library("remotes")
install_version("rr", "1.4.2")



Attach the package and use:
library("rr")
Maintained by
Graeme Blair
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-08
Latest Update: 2024-01-16
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 .
How to cite:
Graeme Blair (2015). rr: Statistical Methods for the Randomized Response Technique. R package version 1.4.2, https://cran.r-project.org/web/packages/rr. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0 (2015-02-08 01:05), 1.1 (2015-02-19 08:01), 1.2 (2015-03-21 19:28), 1.3.1 (2016-05-15 09:40), 1.3 (2015-03-26 17:50), 1.4.1 (2022-05-24 12:10), 1.4 (2016-08-17 00:49)
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Complete documentation for rr
Functions, R codes and Examples using the rr R package
Some associated functions: Nigeria . nigeria-data . power.rr.plot . power.rr.test . predict.rrreg . predict.rrreg.predictor . rr-package . rrreg.bayes . rrreg . rrreg.predictor . 
Some associated R codes: nigeria-data.R . power.R . rr-package.R . rr.R . rrBayes.R . rrreg.predictor.R .  Full rr package functions and examples
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