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RankResponse (version 4.0.0)

Ranking Responses in a Single Response Question or a Multiple Response Question

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. .

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Version

Install

install.packages('RankResponse')

Monthly Downloads

220

Version

4.0.0

License

GPL (>= 2)

Maintainer

Hsiuying Wang

Last Published

May 11th, 2022

Functions in RankResponse (4.0.0)

rank.wald

Rank Responses based on the Wald Test
rankLN

Rank responses under the Bayesian framework according to the loss function in Method 1 of Wang and Huang (2004).
rankL2R

Rank responses under the Bayesian framework according to the loss function in Method 3 of Wang and Huang (2004).
rank.gs

Rank Responses based on the Generalized Score Test