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List:       r-packages
Subject:    [R-pkgs] permuco: permutation tests and multiple comparisons.
From:       Jaromil Frossard <Jaromil.Frossard () unige ! ch>
Date:       2019-01-28 2:07:44
Message-ID: 94c8e48ca3944046a7e0936151bb58ad () unige ! ch
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Hello everyone,

We present you the permuco package, which has 2 main purposes: PERmutation tests and \
MUltiple COmparisons.

First, the package has functions for permutation tests for parameters in linear \
models with nuisance variables. Several permutation methods exist in the literature \
to reduce the effect of nuisance variables and the permuco package allows to use them \
for t statistics in regression model, F tests in type 3 ANOVA, and F tests in \
repeated measures ANOVA. The 2 functions aovperm() and lmperm() perform these tests \
and their usage is similar to the parametric counterpart aov() and lm().

Secondly, it uses multiple comparisons procedures with permutation tests to compare \
signals time by time. This problem is common when analysing electroencephalography \
(or fMRI) data where the response variables are EEG signals recorded for each \
experimental setting. In these experiments, the number of tests is equal to the \
number of time points of the signal which is typically in the thousands. The permuco \
package implements the state-of-the-art multiple comparisons procedures which uses \
permutations, like the cluster-mass test or the threshold-free cluster-enhancement. \
These procedures are powerful when the effects appear in clusters and they will \
control the family wise error rate (FWER) under the null hypothesis.

All these procedures are explained and exemplified in detail in a vignette.

We are waiting for your feedback in order to improve the next releases of permuco.

Olivier Renaud & Jaromil Frossard

University of Geneva

URL:
https://CRAN.R-project.org/package=permuco
Maintainer:
jaromil.frossard@unige.ch<mailto:jaromil.frossard@unige.ch>

<mailto:jaromil.frossard@unige.ch>


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