Package: MultNonParam 1.3.9
John E. Kolassa
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:
MultNonParam_1.3.9.tar.gz
MultNonParam_1.3.9.tar.gz(r-4.5-noble)MultNonParam_1.3.9.tar.gz(r-4.4-noble)
MultNonParam_1.3.9.tgz(r-4.4-emscripten)MultNonParam_1.3.9.tgz(r-4.3-emscripten)
MultNonParam.pdf |MultNonParam.html✨
MultNonParam/json (API)
| # Install 'MultNonParam' in R: |
| install.packages('MultNonParam', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:5e18ee127c. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-linux-x86_64 | OK | Nov 22 2024 |
Exports:aov.Pbetatestdconcordantdmannwhitneyecdfcisexactquantilecigenscorestathiggins.fisher.kruskal.testkweffectsizekwpowerkwsamplesizemannwhitney.testmood.median.testnextppage.test.unbalancedpairwiseprobabilitiespconcordantpowerplotprobabilityderivprobestqconcordantsensitivity.plotshiftcrsolvencpsymscorestatterpstra.testterpstrapowertestvetheiltukey.kruskal.testtwosamplesurvpvstwosamplesurvtestsutil.jplot
Dependencies:DBIICSICSNPlatticeMatrixminqamitoolsmvtnormnumDerivRcppRcppArmadillosurveysurvival
