Scrubbing and Other Data Cleaning Routines for fMRI R package fMRIscrub version 0.15.0 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. Software Depends: R (>= 3.5.0) Imports: MASS, e1071, fMRItools (>= 0.2.2), pesel, robustbase, stats, utils Suggests: corpcor, cowplot, ciftiTools, gifti, gsignal, knitr, rmarkdown, RNifti, ggplot2, fastICA, oro.nifti, testthat (>= 3.0.0), covr Amanda Mejia <mandy.mejia@gmail.com> Comprehensive R Archive Network (CRAN) Amanda Mejia [aut, cre], John Muschelli [aut] (ORCID: <https://orcid.org/0000-0001-6469-1750>), Damon Pham [aut] (ORCID: <https://orcid.org/0000-0001-7563-4727>), Daniel McDonald [ctb], Fatma Parlak [ctb] GPL-3 2026-03-19 application/tgz https://CRAN.R-project.org/package=fMRIscrub doi:10.32614/CRAN.package.fMRIscrub