clusrank-package {clusrank} | R Documentation |
clusrank provides Wilcoxon rank-sum test and Wilcoxon sign-rank test for
clustered data. For clustered rank-sum test, there are 3 methods: RGL, DS
and DD. For clustered signed-rank test, there are 2 methods: RGL and
DS. The two tests are unified with one single interface:
clusWilcox.test
. For details of the tests please look at
the references below.
Maintainer: Yujing Jiang yujing.jiang@uconn.edu
Other contributors:
Mei-Ling Ting Lee [contributor]
Jun Yan [contributor]
Bernard Rosner, Robert J. Glynn, Mei-Ling T. Lee (2006) The Wilcoxon Signed Rank Test for Paired Comparisons of Clustered Data. Biometrics, 62, 185-192.
Bernard Rosner, Robert J. Glynn, Mei-Ling T. Lee (2003) Incorporation of Clustering Effects for the Wilcoxon Rank Sum Test: A Large-Sample Approach. Biometrics, 59, 1089-1098.
Bernard Rosner, Robert J. Glynn, Mei-Ling T. Lee (2006) Extension of the Rank Sum Test for Clustered Data: Two-Group Comparisons with Group. Biometrics, 62, 1251-1259.
Somnath Datta, Glen A. Satten (2005) Rank-Sum Tests for Clustered Data. Journal of the American Statistical Association, 100, 908-915.
Somath Datta, Glen A. Satten (2008) A Signed-Rank test for Clustered Data. Biometric, 64, 501-507.
Sandipan Dutta, Somnath Datta (2015) A Rank-Sum Test for Clustered Data When the Number of Subjects in a Group within a Cluster is Informative. Biometrics, 72, 432-440.