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RankResponse  

Ranking Responses in a Single Response Question or a Multiple Response Question
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RankResponse", "4.0.0")



Attach the package and use:
library("RankResponse")
Maintained by
Hsiuying Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-03
Latest Update: 2022-05-11
Description:
Methods for ranking responses of a single response question or a multiple response question are described in the two papers: 1. Wang, H. (2008). Ranking Responses in Multiple-Choice Questions. Journal of Applied Statistics, 35, 465-474. 2. Wang, H. and Huang, W. H. (2014). Bayesian Ranking Responses in Multiple Response Questions. Journal of the Royal Statistical Society: Series A (Statistics in Society), 177, 191-208. .
How to cite:
Hsiuying Wang (2014). RankResponse: Ranking Responses in a Single Response Question or a Multiple Response Question. R package version 4.0.0, https://cran.r-project.org/web/packages/RankResponse. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:21), 3.0.3 (2014-04-03 05:57), 3.1.1 (2014-09-11 09:32)
Other packages that cited RankResponse R package
View RankResponse citation profile
Other R packages that RankResponse depends, imports, suggests or enhances
Complete documentation for RankResponse
Functions, R codes and Examples using the RankResponse R package
Some associated functions: rank.gs . rank.wald . rankL2R . rankLN . 
Some associated R codes: rank.gs.R . rank.wald.R . rankL2R.R . rankLN.R .  Full RankResponse package functions and examples
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