Package: fMRIscrub
Type: Package
Title: Scrubbing and Other Data Cleaning Routines for fMRI
Version: 0.12.1
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"))
    )
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Data-driven fMRI denoising with projection scrubbing (Pham et al 
    (2022) <arXiv:2108.00319>). 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.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: MASS, e1071, fMRItools (>= 0.2.2), pesel, robustbase, stats,
        utils
Suggests: corpcor, cowplot, ciftiTools, gifti, knitr, rmarkdown,
        RNifti, ggplot2, fastICA, oro.nifti, testthat (>= 3.0.0), covr
RoxygenNote: 7.2.3
URL: https://github.com/mandymejia/fMRIscrub
BugReports: https://github.com/mandymejia/fMRIscrub/issues
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-25 15:42:53 UTC; ddpham
Author: Amanda Mejia [aut, cre],
  John Muschelli [aut] (<https://orcid.org/0000-0001-6469-1750>),
  Damon Pham [aut] (<https://orcid.org/0000-0001-7563-4727>),
  Daniel McDonald [ctb]
Repository: CRAN
Date/Publication: 2023-01-25 16:00:02 UTC
Built: R 4.1.2; ; 2023-01-26 11:59:33 UTC; unix
