permuco

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).