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MultNonParam  

Multivariate Nonparametric Methods
View on CRAN: Click here


Download and install MultNonParam package within the R console
Install from CRAN:
install.packages("MultNonParam")

Install from Github:
library("remotes")
install_github("cran/MultNonParam")

Install by package version:
library("remotes")
install_version("MultNonParam", "1.3.9")



Attach the package and use:
library("MultNonParam")
Maintained by
John E. Kolassa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-25
Latest Update: 2023-08-30
Description:
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) .
How to cite:
John E. Kolassa (2014). MultNonParam: Multivariate Nonparametric Methods. R package version 1.3.9, https://cran.r-project.org/web/packages/MultNonParam. Accessed 04 Jul. 2026.
Previous versions and publish date:
1.0 (2014-08-25 08:10), 1.1 (2015-09-16 18:51), 1.2.1 (2015-10-07 23:44), 1.2.3 (2016-08-28 18:54), 1.2.5 (2016-10-21 03:52), 1.2.6 (2018-06-08 09:42), 1.2.8 (2019-09-07 20:40), 1.2 (2015-10-05 23:15), 1.3.0 (2019-11-15 21:50), 1.3.2 (2020-02-14 15:50), 1.3.3 (2020-03-10 00:40), 1.3.4 (2020-06-09 21:40), 1.3.5 (2021-06-03 07:50), 1.3.6 (2021-09-30 12:10), 1.3.7 (2022-10-21 13:47), 1.3.8 (2022-11-30 19:20)
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