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fMRIscrub  

Scrubbing and Other Data Cleaning Routines for fMRI
View on CRAN: Click here


Download and install fMRIscrub package within the R console
Install from CRAN:
install.packages("fMRIscrub")

Install from Github:
library("remotes")
install_github("cran/fMRIscrub")

Install by package version:
library("remotes")
install_version("fMRIscrub", "0.14.5")



Attach the package and use:
library("fMRIscrub")
Maintained by
Amanda Mejia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-20
Latest Update: 2023-10-25
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.
How to cite:
Amanda Mejia (2021). fMRIscrub: Scrubbing and Other Data Cleaning Routines for fMRI. R package version 0.14.5, https://cran.r-project.org/web/packages/fMRIscrub. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.8.2 (2021-08-20 11:10), 0.8.6 (2021-09-20 16:00), 0.11.2 (2022-07-08 16:30), 0.12.1 (2023-01-25 17:00), 0.13.0 (2023-06-07 16:50), 0.14.4 (2023-10-23 09:50)
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