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
- Version1.4.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- rr citation info
- Last release01/16/2024
Documentation
Team
Graeme Blair
Kosuke Imai
Winston Chou
Show author detailsRolesContributorYang-Yang Zhou
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 213 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
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Last 365 days
This package has been downloaded 3,176 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 69 downloads.
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Dependencies
- Imports4 packages
- Suggests1 package