permuco: Permutation Tests for Regression, (Repeated Measures)
ANOVA/ANCOVA and Comparison of Signals
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: |
1.1.2 |
Imports: |
permute, Matrix, stats, graphics, Rcpp |
LinkingTo: |
Rcpp |
Suggests: |
R.rsp, testthat, covr, knitr, rmarkdown |
Published: |
2022-06-30 |
Author: |
Jaromil Frossard [aut, cre],
Olivier Renaud [aut] |
Maintainer: |
Jaromil Frossard <jaromil.frossard at gmail.com> |
BugReports: |
https://github.com/jaromilfrossard/permuco/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/jaromilfrossard/permuco |
NeedsCompilation: |
yes |
Citation: |
permuco citation info |
Materials: |
README NEWS |
CRAN checks: |
permuco results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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