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DESCRIPTION
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DESCRIPTION
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Package: permuco
Type: Package
Title: Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals
Version: 1.1.2
Date: 2022-06-28
Authors@R: c(
person("Jaromil","Frossard", email = "jaromil.frossard@gmail.com",role = c("aut", "cre")),
person("Olivier","Renaud",email="olivier.renaud@unige.ch",role=c("aut")))
Maintainer: Jaromil Frossard <jaromil.frossard@gmail.com>
URL: https://github.com/jaromilfrossard/permuco
BugReports: https://github.com/jaromilfrossard/permuco/issues
Description: Functions to compute p-values based on permutation tests. Regression, ANOVA and ANCOVA, omnibus F-tests, marginal unilateral and bilateral t-tests are available. Several methods to handle nuisance variables are implemented (Kherad-Pajouh, S., & Renaud, O. (2010) <doi:10.1016/j.csda.2010.02.015> ; Kherad-Pajouh, S., & Renaud, O. (2014) <doi:10.1007/s00362-014-0617-3> ; Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) <doi:10.1016/j.neuroimage.2014.01.060>). An extension for the comparison of signals issued from experimental conditions (e.g. EEG/ERP signals) is provided. Several corrections for multiple testing are possible, including the cluster-mass statistic (Maris, E., & Oostenveld, R. (2007) <doi:10.1016/j.jneumeth.2007.03.024>) and the threshold-free cluster enhancement (Smith, S. M., & Nichols, T. E. (2009) <doi:10.1016/j.neuroimage.2008.03.061>).
License: GPL (>= 2)
Imports:
permute,
Matrix,
stats,
graphics,
Rcpp
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 7.2.0
Suggests:
R.rsp,
testthat,
covr,
knitr,
rmarkdown
VignetteBuilder:
R.rsp,
knitr
LinkingTo:
Rcpp