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 >


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


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:


# Default Install

# 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 GitHub
Neuroconductor GitHub 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