ERP is an R package which provides multiple testing procedures designed for Event-Related Potentials (ERP) data in a linear model framework. These procedures are reviewed and compared in Sheu, Perthame, Lee, & Causeur (2016). Some of the methods gathered in the package are the classical FDR- and FWER-controlling procedures, also available using function p.adjust (see the R package stats). The package also implements the Guthrie-Buchwald procedure (Guthrie and Buchwald, 1991), which accounts for the auto-correlation among tests to control erroneous detections of short intervals. The Adaptive Factor-Adjustment method is an extension of the method described in Causeur, Chu, Hsieh, & Sheu (2012). It assumes a factor model for the correlation among tests and combines adaptively the estimation of the signal and the updtating of the dependence modelling (see Sheu et al., 2016 for further details). R package
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