flip
Multivariate Permutation Tests
It implements many univariate and multivariate permutation (and rotation) tests. Allowed tests: the t one and two samples, ANOVA, linear models, Chi Squared test, rank tests (i.e. Wilcoxon, Mann-Whitney, Kruskal-Wallis), Sign test and Mc Nemar. Test on Linear Models are performed also in presence of covariates (i.e. nuisance parameters). The permutation and the rotation methods to get the null distribution of the test statistics are available. It also implements methods for multiplicity control such as Westfall & Young minP procedure and Closed Testing (Marcus, 1976) and k-FWER. Moreover, it allows to test for fixed effects in mixed effects models.
- Version2.5.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/25/2018
Documentation
Team
Livio Finos
Jelle Goeman
Show author detailsRolesContributorAldo Solari
Show author detailsRolesContributorFlorian Klinglmueller
Dario Basso
Show author detailsRolesContributorLucia Benetazzo
Show author detailsRolesContributorMarco Rinaldo
Show author detailsRolesContributor
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- Imports4 packages
- Reverse Imports2 packages