The functions provided in the package ERP are designed for the significance analysis of ERP data in a linear model framework. The possible procedures are either the collection of FDR or FWER controlling methods available in the generic function p.adjust, the same collection combined with a factor modeling of the time dependence among tests (see Sheu, Perthame, Lee and Causeur, 2016) and the Guthrie and Buchwald (1991) test.
|Author||David Causeur (Agrocampus, Rennes, France) and Ching-Fan Sheu (National Cheng-Kung University, Tainan, Taiwan)|
|Date of publication||2015-12-14 17:19:08|
|Maintainer||David Causeur <firstname.lastname@example.org>|
|License||GPL (>= 2)|
erpavetest: Significance testing of averaged ERPs. The entire ERP...
erpcz: ERP dataset from a directed forgetting experiment as...
erpfatest: Adaptive Factor-Adjustement for multiple testing of ERP data
ERP-package: Significance analysis of ERP data
erpplot: Plot of ERP curves.
erptest: FDR- and FWER-controlling Multiple testing of ERP data
gbtest: The Guthrie-Buchwald procedure for significance analysis of...
simerp: ERP dataset from a simulation study presented in detail in...
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