fMRIscrub: Scrubbing and Other Data Cleaning Routines for fMRI
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 and DVARS are also applicable to other
outlier detection tasks involving high-dimensional data.
| Version: |
0.11.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
MASS, e1071, pesel, robustbase, stats, utils |
| Suggests: |
corpcor, cowplot, ciftiTools, gifti, knitr, rmarkdown, RNifti, ggplot2, gsignal, fastICA, oro.nifti, testthat (≥
3.0.0), covr |
| Published: |
2022-07-08 |
| Author: |
Amanda Mejia [aut, cre],
John Muschelli 
[aut],
Damon Pham [aut],
Daniel McDonald [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:
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