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permuco  

Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals
View on CRAN: Click here


Download and install permuco package within the R console
Install from CRAN:
install.packages("permuco")

Install from Github:
library("remotes")
install_github("cran/permuco")

Install by package version:
library("remotes")
install_version("permuco", "1.1.3")



Attach the package and use:
library("permuco")
Maintained by
Jaromil Frossard
[Scholar Profile | Author Map]
First Published: 2018-01-10
Latest Update: 2022-06-30
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) ; Kherad-Pajouh, S., & Renaud, O. (2014) ; Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) ). 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) ) and the threshold-free cluster enhancement (Smith, S. M., & Nichols, T. E. (2009) ).
How to cite:
Jaromil Frossard (2018). permuco: Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals. R package version 1.1.3, https://cran.r-project.org/web/packages/permuco. Accessed 08 Apr. 2025.
Previous versions and publish date:
1.0.0 (2018-01-10 16:25), 1.0.1 (2018-02-14 17:35), 1.0.2 (2019-01-25 10:40), 1.1.0 (2019-12-19 14:40), 1.1.1 (2021-10-22 14:40), 1.1.2 (2022-06-30 09:30)
Other packages that cited permuco R package
View permuco citation profile
Other R packages that permuco depends, imports, suggests or enhances
Complete documentation for permuco
Functions, R codes and Examples using the permuco R package
Some associated functions: Pmat . Pmat_product . aovperm . as.Pmat . attentionshifting_design . attentionshifting_signal . clusterlm . compute_clusterdepth . compute_clusterdepth_head . compute_clustermass . compute_maxT . compute_minP . compute_stepdownmaxT . compute_tfce . compute_troendle . emergencycost . get_cluster . jpah2016 . lmperm . plot.clusterlm . plot.lmperm . print.clusterlm . summary.clusterlm . 
Some associated R codes: Pmat.R . Pmat_product.R . RcppExports.R . anova_table.R . anova_table_rnd.R . aovperm.R . aovperm_fix.R . aovperm_rnd.R . as.Pmat.R . assign.Pmat.R . changeContrast.R . checkBalancedData.R . check_P.R . check_distribution.R . cluster_methods.R . cluster_methods_rnd.R . cluster_table.R . cluster_table_clustermass.R . clusterlm.R . clusterlm_fix.R . clusterlm_rnd.R . compute_all_pvalue.R . compute_benjamini_hochberg.R . compute_bonferroni.R . compute_clusterdepth.R . compute_clusterdepth_head.R . compute_clusterdepth_tr.R . compute_clustermass.R . compute_degree_freedom_fix.R . compute_degree_freedom_rnd.R . compute_holm.R . compute_maxT.R . compute_minP.R . compute_pvalue.R . compute_stepdownmaxT.R . compute_tfce.R . compute_tfce_statistic.R . compute_troendle.R . data.R . depth_distribution.R . distribution_to_pscale.R . effect_anova_rnd.R . full_table.R . get_cluster.R . khatrirao.R . link.R . lmperm.R . lmperm_fix.R . methods.R . methods_rnd.R . np.R . old_cluster_methods.R . old_cluster_private.R . plot.clusterlm.R . plot.lmperm.R . print.clusterlm.R . print.listof_multcomp_table.R . print.lmperm.R . print.lmpermutation_table.R . print.multcomp_table.R . summary.clusterlm.R . summary.lmperm.R . switch_multcomp.R .  Full permuco package functions and examples
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