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
|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 <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.