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 >

Documentation

 
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
DependsR (2.10)
Importscowplot, expm, ggplot2, ggrepel, MASS, e1071, far, glmgen, robustbase, stats
SuggestsciftiTools, knitr, rmarkdown, RNifti, ggpubr, neurobase, oro.nifti, gridExtra, testthat (2.1.0), covr