Package: MultNonParam 1.3.9

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>.

Authors:John E. Kolassa [cre], Stephane Jankowski [aut]

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33 exports 0.36 score 13 dependencies 1 mentions 15 scripts 441 downloads

Last updated 1 years agofrom:5e18ee127c. Checks:OK: 9. Indexed: yes.

Exports:aov.Pbetatestdconcordantdmannwhitneyecdfcisexactquantilecigenscorestathiggins.fisher.kruskal.testkweffectsizekwpowerkwsamplesizemannwhitney.testmood.median.testnextppage.test.unbalancedpairwiseprobabilitiespconcordantpowerplotprobabilityderivprobestqconcordantsensitivity.plotshiftcrsolvencpsymscorestatterpstra.testterpstrapowertestvetheiltukey.kruskal.testtwosamplesurvpvstwosamplesurvtestsutil.jplot

Dependencies:DBIICSICSNPlatticeMatrixminqamitoolsmvtnormnumDerivRcppRcppArmadillosurveysurvival