Package DensParcorr details
Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks
Provide a Dens-based method for estimating functional connection in large scale brain networks using partial correlation.
Maintainer: Yikai Wang < yikai.wang at emory.edu >
From within R, enter citation('DensParcorr')
To cite package 'DensParcorr' in publications use:
Yikai Wang, Jian Kang, Phebe Brenne Kemmer and Ying Guo (2016).
DensParcorr: Dens-Based Method for Partial Correlation Estimation in
Large Scale Brain Networks. R package version 1.0.
A BibTeX entry for LaTeX users is
@Manual{,
title = {DensParcorr: Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks},
author = {Yikai Wang and Jian Kang and Phebe Brenne Kemmer and Ying Guo},
year = {2016},
note = {R package version 1.0},
}
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('DensParcorr')
# from GitHub
neuro_install('DensParcorr', release = "stable", release_repo = "github")
neuro_install('DensParcorr', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
Initially submitted on | September 27 2018 12:27PM |
Last updated on | October 15 2020 2:50PM |
Package type | standard |
Source GitHub | https://github.com/johnzonwyk/DensParcorr GitHub |
Neuroconductor GitHub | https://github.com/neuroconductor/DensParcorr GitHub |