clusrank-package {clusrank}R Documentation

Rank tests for clustered data.

Description

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.

Author(s)

Maintainer: Yujing Jiang yujing.jiang@uconn.edu

Other contributors:

References

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.


[Package clusrank version 0.6-2 Index]