We construct four new exact level (size) alpha tests for testing the equality of k distributions, which can be conveniently used in high dimensional low sample size setup based on clustering. These tests are easy to implement and distribution-free. Under mild conditions, we have proved the consistency of these tests as the dimension d of each observation grows to infinity, whereas the sample size remains fixed. We also apply step-down-procedure (1979) for multiple testing. Details are in Biplab Paul, Shyamal K De and Anil K Ghosh (2020); Soham Sarkar and Anil K Ghosh (2019) <doi:10.1109/TPAMI.2019.2912599>; William M Rand (1971) <doi:10.1080/01621459.1971.10482356>; Cyrus R Mehta and Nitin R Patel (1983) <doi:10.2307/2288652>; Joseph C Dunn (1973) <doi:10.1080/01969727308546046>; Sture Holm (1979) <doi:10.2307/4615733>.
Version: | 1.0 |
Imports: | Rcpp (≥ 1.0.3), stats, utils |
LinkingTo: | Rcpp |
Published: | 2020-08-04 |
Author: | Biplab Paul [aut, cre], Shyamal K. De [aut], Anil K. Ghosh [aut] |
Maintainer: | Biplab Paul <biplab.paul at niser.ac.in> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
CRAN checks: | HDLSSkST results |
Reference manual: | HDLSSkST.pdf |
Package source: | HDLSSkST_1.0.tar.gz |
Windows binaries: | r-devel: HDLSSkST_1.0.zip, r-release: HDLSSkST_1.0.zip, r-oldrel: HDLSSkST_1.0.zip |
macOS binaries: | r-release: HDLSSkST_1.0.tgz, r-oldrel: HDLSSkST_1.0.tgz |
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