Package: fMRIscrub Type: Package Title: Scrubbing and Other Data Cleaning Routines for fMRI Version: 0.13.0 Authors@R: c( person(given = "Amanda", family = "Mejia", email = "mandy.mejia@gmail.com", role = c("aut", "cre")), person(given = "John", family = "Muschelli", email = "muschellij2@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-6469-1750")), person(given = "Damon", family = "Pham", email = "damondpham@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-7563-4727")), person(given = "Daniel", family = "McDonald", email = "daniel@stat.ubc.ca", role = c("ctb")), person(given = "Fatma", family = "Parlak", email = "fparlak@iu.edu", role = c("ctb")) ) Maintainer: Amanda Mejia Description: Data-driven fMRI denoising with projection scrubbing (Pham et al (2022) ). 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 is also applicable to other outlier detection tasks involving high-dimensional data. Depends: R (>= 3.5.0) License: GPL-3 Encoding: UTF-8 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 Roxygen: list(markdown = TRUE) RoxygenNote: 7.2.3 URL: https://github.com/mandymejia/fMRIscrub BugReports: https://github.com/mandymejia/fMRIscrub/issues LazyData: true Config/pak/sysreqs: libicu-dev Repository: https://mandymejia.r-universe.dev Date/Publication: 2025-03-28 20:02:44 UTC RemoteUrl: https://github.com/mandymejia/fmriscrub RemoteRef: HEAD RemoteSha: f6b489571429f2b7ae87ba36f63ebf540196eac9 NeedsCompilation: no Packaged: 2026-07-04 23:52:19 UTC; root Author: Amanda Mejia [aut, cre], John Muschelli [aut] (ORCID: ), Damon Pham [aut] (ORCID: ), Daniel McDonald [ctb], Fatma Parlak [ctb]