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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.\n\nThe 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).\n\nR package