Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals R package permuco version 1.1.3 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>). Software Imports: permute, Matrix, stats, graphics, Rcpp LinkingTo: Rcpp Suggests: R.rsp, testthat, covr, knitr, rmarkdown Jaromil Frossard <jaromil.frossard@gmail.com> Comprehensive R Archive Network (CRAN) Jaromil Frossard [aut, cre], Olivier Renaud [aut] GPL (>= 2) 2024-08-25 application/tgz https://CRAN.R-project.org/package=permuco doi:10.32614/CRAN.package.permuco