seeds

<p>Famous seeds growing data from Pesarin, F. (2001) Multivariate Permutation
Tests with Applications in Biostatistics. Wiley, New York.</p>

htest

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.

Livio Finos

flip

Multivariate Permutation Tests

seeds function

<p>the data.frame contains the three columns: grs, x, y</p>

seeds: Seeds data

Description

Arguments

Format