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.
| Version: | 1.3.4 |
| Depends: | R (≥ 2.10), ICSNP |
| Published: | 2020-06-09 |
| Author: | John E. Kolassa [cre], Stephane Jankowski [aut] |
| Maintainer: | John E. Kolassa <kolassa at stat.rutgers.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | MultNonParam results |
| Reference manual: | MultNonParam.pdf |
| Package source: | MultNonParam_1.3.4.tar.gz |
| Windows binaries: | r-devel: MultNonParam_1.3.4.zip, r-release: MultNonParam_1.3.4.zip, r-oldrel: MultNonParam_1.3.4.zip |
| macOS binaries: | r-release: MultNonParam_1.3.4.tgz, r-oldrel: MultNonParam_1.3.4.tgz |
| Old sources: | MultNonParam archive |
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