fMRIscrub: Scrubbing and Other Data Cleaning Routines for fMRI

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.

Version:	0.14.5
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
Published:	2023-10-25
DOI:	10.32614/CRAN.package.fMRIscrub
Author:	Amanda Mejia [aut, cre], John Muschelli [aut], Damon Pham [aut], Daniel McDonald [ctb], Fatma Parlak [ctb]
Maintainer:	Amanda Mejia <mandy.mejia at gmail.com>
BugReports:	https://github.com/mandymejia/fMRIscrub/issues
License:	GPL-3
URL:	https://github.com/mandymejia/fMRIscrub
NeedsCompilation:	no
Citation:	fMRIscrub citation info
Materials:	README NEWS
CRAN checks:	fMRIscrub results

Documentation:

Reference manual:

fMRIscrub.pdf

Downloads:

Package source:	fMRIscrub_0.14.5.tar.gz
Windows binaries:	r-devel: fMRIscrub_0.14.5.zip, r-release: fMRIscrub_0.14.5.zip, r-oldrel: fMRIscrub_0.14.5.zip
macOS binaries:	r-release (arm64): fMRIscrub_0.14.5.tgz, r-oldrel (arm64): fMRIscrub_0.14.5.tgz, r-release (x86_64): fMRIscrub_0.14.5.tgz, r-oldrel (x86_64): fMRIscrub_0.14.5.tgz
Old sources:	fMRIscrub archive

Reverse dependencies:

Reverse imports:

templateICAr

Linking:

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