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")

# use release_versions() to find previous releases
neuro_install('DensParcorr', release_repo= 'https://neuroconductor.org/releases/2018/feb')

# Default Install
neuro_install('DensParcorr')

# From the Binary Repo in NeuroC
neuro_install('DensParcorr', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('DensParcorr', release = "current", release_repo = binary_release_repo(release = "current"))

# 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.