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.
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 |
| Depends | R (2.10) |
| Imports | ggplot2, ggrepel, MASS, e1071, far, glmgen, robustbase, stats |
| Suggests | knitr, rmarkdown, ggpubr, neurobase, oro.nifti, gridExtra, testthat (2.1.0), covr |
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