Description: Given a multivariate dataset and some knowledge about the dependencies between its features, it is important to ensure the observations or individuals are exchangeable before fitting a model to the data in order to make inferences from it, or assigning randomized treatments in order to estimate treatment effects. This package provides a flexible non-parametric test of exchangeability, allowing the user to specify the feature dependencies by hand. It can be used directly to evaluate whether a sample is exchangeable, and can also be piped into larger procedures that require exchangeable samples as outputs (e.g., clustering or community detection). See Aw, Spence and Song (2021+) for the accompanying paper.
Suggests: rmarkdown, knitr, devtools, tidyverse

Description: It implements univariate and multivariate permutation test, also allowing multiplicity control.

Depends: methods, foreach, e1071, someMTP, cherry
Description: It implements univariate and multivariate permutation
test, also allowing for multiplicity control.

Author: Livio Finos, with contributions by Matteo Favero
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 McNemar.
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
statistic(s) are available. It also implements methods for
multiplicity control such as Westfall-Young min-p procedure and

Depends: R (>= 2.15.1), methods, foreach, e1071, someMTP, cherry

Author: Livio Finos, with contributions by Dario Basso, Aldo Solari and
statistics are available. It also implements methods for
multiplicity control such as Westfall-Young minP procedure and
Closed Testing (Marcus, 1976). Moreover, it allows to test for

Author: Livio Finos, with contributions by Dario Basso, Aldo Solari and Jelle Goeman
Depends: methods, e1071, someMTP, cherry
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 McNemar. 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). Moreover, it allows to test for fixed effects in mixed effects models.