Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank
Dublin Core
Title
Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank
Subject
Wilcoxon rank-sum test, Wilcoxon signed-rank test.
Description
Wilcoxon rank-based tests are distribution-free alternatives to the popular two-sample
and paired t tests. For independent data, they are available in several R packages such
as stats and coin. For clustered data, in spite of the recent methodological developments,
there did not exist an R package that makes them available at one place. We present a
package clusrank where the latest developments are implemented and wrapped under a
unified user-friendly interface. With different methods dispatched based on the inputs,
this package offers great flexibility in rank-based tests for various clustered data. Exact
tests based on permutations are also provided for some methods. Details of the major
schools of different methods are briefly reviewed. Usages of the package clusrank are
illustrated with simulated data as well as a real dataset from an ophthalmological study.
The package also enables convenient comparison between selected methods under settings
that have not been studied before and the results are discussed.
and paired t tests. For independent data, they are available in several R packages such
as stats and coin. For clustered data, in spite of the recent methodological developments,
there did not exist an R package that makes them available at one place. We present a
package clusrank where the latest developments are implemented and wrapped under a
unified user-friendly interface. With different methods dispatched based on the inputs,
this package offers great flexibility in rank-based tests for various clustered data. Exact
tests based on permutations are also provided for some methods. Details of the major
schools of different methods are briefly reviewed. Usages of the package clusrank are
illustrated with simulated data as well as a real dataset from an ophthalmological study.
The package also enables convenient comparison between selected methods under settings
that have not been studied before and the results are discussed.
Creator
Yujing Jiang
Source
https://www.jstatsoft.org/article/view/v096i06
Publisher
Colorado State University
Date
November 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Yujing Jiang, “Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank,” Repository Horizon University Indonesia, accessed April 19, 2025, https://repository.horizon.ac.id/items/show/8172.