CRAN/E | fMRIscrub

fMRIscrub

Scrubbing and Other Data Cleaning Routines for fMRI

Installation

About

Data-driven fMRI denoising with projection scrubbing (Pham et al (2022) doi:10.1016/j.neuroimage.2023.119972). Also includes routines for DVARS (Derivatives VARianceS) (Afyouni and Nichols (2018) doi:10.1016/j.neuroimage.2017.12.098), motion scrubbing (Power et al (2012) doi:10.1016/j.neuroimage.2011.10.018), aCompCor (anatomical Components Correction) (Muschelli et al (2014) doi:10.1016/j.neuroimage.2014.03.028), detrending, and nuisance regression. Projection scrubbing is also applicable to other outlier detection tasks involving high-dimensional data.

Citation fMRIscrub citation info
github.com/mandymejia/fMRIscrub
Bug report File report

Key Metrics

Version 0.14.5
R ≥ 3.5.0
Published 2023-10-25 177 days ago
Needs compilation? no
License GPL-3
CRAN checks fMRIscrub results

Downloads

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Maintainer

Maintainer

Amanda Mejia

mandy.mejia@gmail.com

Authors

Amanda Mejia

aut / cre

John Muschelli

aut

Damon Pham

aut

Daniel McDonald

ctb

Fatma Parlak

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fMRIscrub archive

Depends

R ≥ 3.5.0

Imports

MASS
cellWise
e1071
fMRItools ≥ 0.2.2
pesel
robustbase
stats
expm
utils
gamlss

Suggests

corpcor
cowplot
ciftiTools
gifti
knitr
rmarkdown
RNifti
ggplot2
fastICA
oro.nifti
testthat ≥ 3.0.0
covr