Package fMRIscrub details

  Package Description
Scrubbing and Other Data Cleaning Routines for fMRI

Data-driven fMRI denoising with projection scrubbing (Pham et al (2021) ). Also includes routines for DVARS (Derivatives VARianceS) (Afyouni and Nichols (2018) ), motion scrubbing (Power et al (2012) ), aCompCor (anatomical Components Correction) (Muschelli et al (2014) ), detrending, and nuisance regression. Projection scrubbing and DVARS are also applicable to other outlier detection tasks involving high-dimensional data.

Maintainer: Amanda Mejia < mandy.mejia at gmail.com >

Documentation

 
  Citation
From within R, enter citation('fMRIscrub')

 
  Issues

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

 
  Versions(Pending - no previous version)
 
  Installation
To install this package, start R and enter:

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

# Default Install
neuro_install('fMRIscrub')

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

More detailed installation instructions can be found here.

 
  Details

Initially submitted on October 13 2021 1:25PM
Last updated on October 13 2021 1:25PM
Package type standard
Source GitHub https://github.com/mandymejia/fMRIscrub GitHub
Neuroconductor GitHub https://github.com/neuroconductor/fMRIscrub GitHub
DependsR (3.5.0)
ImportsMASS, e1071, pesel, robustbase, stats, utils, Rcpp
LinkingToRcpp, RcppArmadillo
Suggestscorpcor, cowplot, ciftiTools, knitr, rmarkdown, RNifti, ggplot2, ggpubr, ica, neurobase, oro.nifti, gridExtra, testthat (2.1.0), covr