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
NeedsCompilation: yes
Packaged: 2022-06-29 11:47:25 UTC; Jaro
Author: Jaromil Frossard [aut, cre],
  Olivier Renaud [aut]
Repository: CRAN
Date/Publication: 2022-06-30 07:30:05 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2022-07-01 10:36:44 UTC; unix
Archs: permuco.so.dSYM
