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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 MannWhitneyWilcoxon 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 MannWhitneyWilcoxon statistics.
Package details 


Author  John E. Kolassa [cre], Stephane Jankowski [aut] 
Maintainer  John E. Kolassa <kolassa@stat.rutgers.edu> 
License  GPL2 
Version  1.3.4 
Package repository  View on CRAN 
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