Learn R Programming

⚠️There's a newer version (2.2) of this package.Take me there.

ERP (version 1.0.1)

Significance analysis of Event-Related Potentials data

Description

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, 2014) and the Guthrie and Buchwald (1991) test.

Copy Link

Version

Install

install.packages('ERP')

Monthly Downloads

197

Version

1.0.1

License

GPL (>= 2)

Maintainer

David Causeur

Last Published

April 4th, 2014

Functions in ERP (1.0.1)

simerp

ERP dataset from a simulation study presented in detail in Sheu, Perthame, Lee and Causeur (2014)
erptest

FDR- and FWER-controlling Multiple testing of ERP data
erpfatest

Adaptive Factor-Adjustement for multiple testing of ERP data
erpavetest

Significance testing of averaged ERPs. The entire ERP recording time is first partitioned into a pre-determined number of equal intervals. The averaged ERPs for each time intervals are the input for analysis.
erpcz

ERP dataset from a directed forgetting experiment as presented in detail in Sheu, Perthame, Lee and Causeur (2014)
ERP-package

Significance analysis of ERP data
erpplot

Plot of ERP curves.
gbtest

The Guthrie-Buchwald procedure for significance analysis of ERP data