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.
- Version1.3.9
- R version≥ 2.10
- LicenseGPL-2
- Needs compilation?Yes
- Last release08/30/2023
Team
John E. Kolassa
Stephane Jankowski
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Insights
Last 30 days
This package has been downloaded 471 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 55 times.
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Last 365 days
This package has been downloaded 5,608 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jul 24, 2024 with 62 downloads.
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Dependencies
- Depends1 package