Crandore Hub

MultNonParam

Multivariate Nonparametric Methods

A collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics. Supported by grant NSF DMS 1712839. See Kolassa and Seifu (2013) <doi:10.1016/j.acra.2013.03.006>.

Versions across snapshots

VersionRepositoryFileSize
1.3.9 rolling linux/jammy R-4.5 MultNonParam_1.3.9.tar.gz 156.3 KiB
1.3.9 rolling linux/noble R-4.5 MultNonParam_1.3.9.tar.gz 157.0 KiB
1.3.9 rolling source/ R- MultNonParam_1.3.9.tar.gz 50.5 KiB
1.3.9 latest linux/jammy R-4.5 MultNonParam_1.3.9.tar.gz 156.3 KiB
1.3.9 latest linux/noble R-4.5 MultNonParam_1.3.9.tar.gz 157.0 KiB
1.3.9 latest source/ R- MultNonParam_1.3.9.tar.gz 50.5 KiB
1.3.9 2026-04-26 source/ R- MultNonParam_1.3.9.tar.gz 50.5 KiB
1.3.9 2026-04-23 source/ R- MultNonParam_1.3.9.tar.gz 50.5 KiB
1.3.9 2026-04-09 windows/windows R-4.5 MultNonParam_1.3.9.zip 338.1 KiB
1.3.9 2025-04-20 source/ R- MultNonParam_1.3.9.tar.gz 50.5 KiB

Dependencies (latest)

Depends