Package clever details
Calculate Leverage of Component Models
Extends the definition of leverage from linear models to principal components analysis. The name is based on component leverage, or clever.
Maintainer: Amanda Mejia < mandy.mejia at gmail.com >
From within R, enter citation('clever')
Mejia AF, Nebel MB, Eloyan A, Caffo B, Lindquist MA (2017). "PCA
leverage: outlier detection for high-dimensional functional magnetic
resonance imaging data." _Biostatistics_, *18*(3), 521-536.
Afyouni S, Nichols TE (2018). "Insight and inference for DVARS."
_Neuroimage_, *172*, 291-312.
To see these entries in BibTeX format, use 'print(,
bibtex=TRUE)', 'toBibtex(.)', or set
'options(citation.bibtex.max=999)'.
If you have any problems with this package you can open a new issue or check the already existing ones here.
To install this package, start R and enter:
source("https://neuroconductor.org/neurocLite.R")
# Default Install
neuro_install('clever')
# from GitHub
neuro_install('clever', release = "stable", release_repo = "github")
neuro_install('clever', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
Initially submitted on | March 26 2020 9:57PM |
Last updated on | October 16 2020 8:04PM |
Package type | standard |
Source GitHub | https://github.com/mandymejia/clever GitHub |
Neuroconductor GitHub | https://github.com/neuroconductor/clever GitHub |
Depends | R (2.10) |
Imports | cowplot, expm, ggplot2, ggrepel, MASS, e1071, far, glmgen, robustbase, stats |
Suggests | ciftiTools, knitr, rmarkdown, RNifti, ggpubr, neurobase, oro.nifti, gridExtra, testthat (2.1.0), covr |