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.

A BibTeX entry for LaTeX users is

@Article{mejia2017pca,
title = {PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging data},
author = {Amanda F Mejia and Mary Beth Nebel and Ani Eloyan and Brian Caffo and Martin A Lindquist},
journal = {Biostatistics},
volume = {18},
number = {3},
pages = {521--536},
year = {2017},
publisher = {Oxford University Press},
}

 

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 March 26 2020 9:57PM
Package type standard
Source GitHub https://github.com/mandymejia/clever GitHub
Neuroconductor GitHub https://github.com/neuroconductor/clever GitHub
DependsR (2.10)
Importsggplot2, ggrepel, MASS, e1071, far, glmgen, robustbase, stats
Suggestsknitr, rmarkdown, ggpubr, neurobase, oro.nifti, gridExtra, testthat (2.1.0), covr