The package provides a collection of multiple testing methods for ERP data in the scope of linear models. The best way to discover these methods is by following the tutorial section of the ERP website. A brief summary is given hereby:
- erpavetest: the function first calculates averaged ERP values within a predetermined number of equally-spaced intervals then tests for significance of the relationship between averaged ERPs and covariates in a linear model framework.
- gbtest: Monte-Carlo implementation of the Guthrie-Buchwald procedure (see Guthrie and Buchwald, 1991) which accounts for the auto-correlation among test statistics to control erroneous detections of short intervals.
- erptest: Classical FDR- and FWER-controlling multiple testing procedures for ERP data in a linear model framework.
- erpfatest: An adaptive factor-adjusted FDR- and FWER-controlling multiple testing procedures for ERP data. The procedure is described in detail in Sheu, Perthame, Lee, and Causeur (2016).