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.
|Author||John E. Kolassa & Stephane Jankowski|
|Date of publication||2016-10-21 03:52:54|
|Maintainer||John E. Kolassa <email@example.com>|
aov.P: One-way ANOVA using permutation tests
betatest: Permumation p-value for the test of association between two...
dmannwhitney: Probabilities associated with the Mann-Whitney test
higgins.fisher.kruskal.test: Fisher's Least Significant Difference (LSD) for...
page.test.unbalanced: Perform Page test for unbalanced two-way design
probest: Stratified Multivariate Kawaguchi Koch Wang Estimators
prostate.data: Prostate cancer data set
sensitivity.plot: Sensitivity plot
sotiriou.data: Breast cancer data set
symscorestat: Generalization of Wilcoxon signed rank test
testve: Diagnosis for multivariate stratified Kawaguchi - Koch - Wang...
tukey.kruskal.test: Tukey HSD procedure
util.jplot: Smoothered plot
wilding: Two-stage Mann-Whitney test