Package eegUtils details

A collection of utilities for EEG analysis

A collection of functions for basic EEG processing. Includes import functions for Biosemi (BDF) and Neuroscan (CNT), topographical plotting, referencing, and epoching.

Maintainer: Matt Craddock < matt at mattcraddock.com >

 
From within R, enter citation(eegUtils)


To cite package 'eegUtils' in publications use:

Matt Craddock (2018). eegUtils: A collection of utilities for EEG
analysis. R package version 0.3.0.9000.
https://github.com/craddm/eegUtils

A BibTeX entry for LaTeX users is

@Manual{,
title = {eegUtils: A collection of utilities for EEG analysis},
author = {Matt Craddock},
year = {2018},
note = {R package version 0.3.0.9000},
url = {https://github.com/craddm/eegUtils},
}

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
 
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# use release_versions() to find previous releases
neuro_install('eegUtils', release_repo= 'https://neuroconductor.org/releases/2018/feb')

# Default Install
neuro_install('eegUtils')

# From the Binary Repo in NeuroC
neuro_install('eegUtils', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('eegUtils', release = "current", release_repo = binary_release_repo(release = "current"))

# from GitHub
neuro_install('eegUtils', release = "stable", release_repo = "github")
neuro_install('eegUtils', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 

Initially submitted on November 29 2018 10:34AM
Last updated on January 17 2019 12:01AM
Package type standard
Source GitHub https://github.com/craddm/eegUtils GitHub
Neuroconductor GitHub https://github.com/neuroconductor/eegUtils GitHub
DependsR (2.10)
Importsggplot2, dplyr, scales, mgcv, purrr, shiny, tidyr, miniUI, rlang, MASS, Matrix, edfReader, signal, tibble, stats, matrixStats, R.matlab, viridis, pracma, abind, data.table, ini, shinydashboard, plotly, future.apply
Suggeststestthat, vdiffr, covr, knitr, rmarkdown, ica, geigen