文章基本信息

标题：Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank
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作者：Yujing Jiang ; Mei-Ling Ting Lee ; Xin He 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2020
卷号：96
期号：1
页码：1-26
DOI：10.18637/jss.v096.i06
出版社：University of California, Los Angeles
摘要：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.
关键词：Wilcoxon rank-sum test;Wilcoxon signed-rank test.
其他关键词：Wilcoxon rank-sum test;Wilcoxon signed-rank test