Other packages > Find by keyword >

ERP  

Significance Analysis of Event-Related Potentials Data
View on CRAN: Click here


Download and install ERP package within the R console
Install from CRAN:
install.packages("ERP")

Install from Github:
library("remotes")
install_github("cran/ERP")

Install by package version:
library("remotes")
install_version("ERP", "2.2")



Attach the package and use:
library("ERP")
Maintained by
David Causeur
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-04
Latest Update: 2019-12-13
Description:
Functions for signal detection and identification designed for Event-Related Potentials (ERP) data in a linear model framework. The functional F-test proposed in Causeur, Sheu, Perthame, Rufini (2018, submitted) for analysis of variance issues in ERP designs is implemented for signal detection (tests for mean difference among groups of curves in One-way ANOVA designs for example). Once an experimental effect is declared significant, identification of significant intervals is achieved by the multiple testing procedures reviewed and compared in Sheu, Perthame, Lee and Causeur (2016, ). Some of the methods gathered in the package are the classical FDR- and FWER-controlling procedures, also available using function p.adjust. The package also implements the Guthrie-Buchwald procedure (Guthrie and Buchwald, 1991 ), which accounts for the auto-correlation among t-tests to control erroneous detection of short intervals. The Adaptive Factor-Adjustment method is an extension of the method described in Causeur, Chu, Hsieh and Sheu (2012, ). It assumes a factor model for the correlation among tests and combines adaptively the estimation of the signal and the updating of the dependence modelling (see Sheu et al., 2016, for further details).
How to cite:
David Causeur (2014). ERP: Significance Analysis of Event-Related Potentials Data. R package version 2.2, https://cran.r-project.org/web/packages/ERP. Accessed 01 Sep. 2026.
Previous versions and publish date:
1.0.1 (2014-04-04 16:07), 1.1 (2015-12-14 17:19), 2.0 (2018-06-26 20:28), 2.1 (2018-10-05 17:32), (2026-07-09 08:02)
Other packages that cited ERP R package
View ERP citation profile
Other R packages that ERP depends, imports, suggests or enhances
Complete documentation for ERP
Functions, R codes and Examples using the ERP R package
Some associated functions: ERP-package . emfa . erpFtest . erpavetest . erpfatest . erpplot . erptest . gbtest . ifa . impulsivity . isqrtfa . nbfactors . 
Some associated R codes: emfa.R . erpFtest.R . erpavetest.R . erpfatest.R . erpplot.R . erptest.R . gbtest.R . ifa.R . isqrtfa.R . nbfactors.R .  Full ERP package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

flood  
Statistical Methods for the (Regional) Analysis of Flood Frequency
Includes several statistical methods for the estimation of parameters and high quantiles of river fl ...
Download / Learn more Package Citations See dependency  
markets  
Estimation Methods for Markets in Equilibrium and Disequilibrium
Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation ...
Download / Learn more Package Citations See dependency  
fANCOVA  
Nonparametric Analysis of Covariance
A collection of R functions to perform nonparametric analysis of covariance for regression curves o ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
reproj  
Coordinate System Transformations for Generic Map Data
Transform coordinates from a specified source to a specified target map projection. This uses the ' ...
Download / Learn more Package Citations See dependency  

28,400

R Packages

239,283

Dependencies

75,283

Author Associations

28,401

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA