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flip (version 2.5.0)

Multivariate Permutation Tests

Description

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.

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Version

Install

install.packages('flip')

Monthly Downloads

350

Version

2.5.0

License

GPL (>= 2)

Maintainer

Last Published

August 25th, 2018

Functions in flip (2.5.0)

flip.adjust

Functions for multiplicity corrections
flip.object-class

Class flip.object
seeds

Seeds data
cFlip

cFlip
flip-package

flip-package
flipMix

The main function for testing mixed models under a permutation (and rotation) framework
getFlip

getFlip
permutationSpace

These functions handle the orbit of permutation/rotation tests (i.e. permutation/rotation space).
flip

flip