ERP: Significance Analysis of Event-Related Potentials Data

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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 <david.causeur@agrocampus-ouest.fr>
License
GPL (>= 2)
Version
1.1

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Man pages

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...

Files in this package

ERP
ERP/NAMESPACE
ERP/data
ERP/data/erpcz.rda
ERP/data/simerp.rda
ERP/R
ERP/R/erpfatest.R
ERP/R/erpavetest.R
ERP/R/erptest.R
ERP/R/gbtest.R
ERP/R/ERP-internal.R
ERP/R/erpplot.R
ERP/MD5
ERP/DESCRIPTION
ERP/man
ERP/man/erptest.Rd
ERP/man/erpavetest.Rd
ERP/man/erpcz.Rd
ERP/man/erpfatest.Rd
ERP/man/gbtest.Rd
ERP/man/simerp.Rd
ERP/man/ERP-package.Rd
ERP/man/erpplot.Rd