Package: permuco 1.1.3

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>).

Authors:Jaromil Frossard [aut, cre], Olivier Renaud [aut]

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Bug tracker:https://github.com/jaromilfrossard/permuco/issues

On CRAN:

14 exports 11 stars 2.58 score 4 dependencies 7 mentions 65 scripts 346 downloads

Last updated 24 days agofrom:f9b6c4088c. Checks:OK: 9. Indexed: yes.

Exports:aovpermas.Pmatclusterlmcompute_clusterdepthcompute_clusterdepth_headcompute_clustermasscompute_maxTcompute_minPcompute_stepdownmaxTcompute_tfcecompute_troendlelmpermPmatPmat_product

Dependencies:latticeMatrixpermuteRcpp