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>).
Version: | 1.1.0 |
Imports: | permute, Matrix, stats, graphics |
Suggests: | R.rsp |
Published: | 2019-12-19 |
Author: | Jaromil Frossard [aut, cre], Olivier Renaud [aut] |
Maintainer: | Jaromil Frossard <jaromil.frossard at unige.ch> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | permuco results |
Reference manual: | permuco.pdf |
Vignettes: |
Permutation tests for regression, ANOVA and comparison of signals |
Package source: | permuco_1.1.0.tar.gz |
Windows binaries: | r-devel: permuco_1.1.0.zip, r-release: permuco_1.1.0.zip, r-oldrel: permuco_1.1.0.zip |
macOS binaries: | r-release: permuco_1.1.0.tgz, r-oldrel: permuco_1.1.0.tgz |
Old sources: | permuco archive |
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