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 ORCID iD [aut], Damon Pham ORCID iD [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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