Package brainKCCA details
Region-Level Connectivity Network Construction via Kernel Canonical Correlation Analysis
It is designed to calculate connection between (among)
brain regions and plot connection lines. Also, the summary
function is included to summarize group-level connectivity
network. Kang, Jian (2016)
Maintainer: Jian Kang < jiankang at umich.edu >
From within R, enter citation('brainKCCA')
To cite package 'brainKCCA' in publications use:
Xubo Yue (2018). brainKCCA: Region-Level Connectivity Network
Construction via Kernel Canonical Correlation Analysis. R package
version 0.1.0. https://CRAN.R-project.org/package=brainKCCA
A BibTeX entry for LaTeX users is
@Manual{,
title = {brainKCCA: Region-Level Connectivity Network Construction via Kernel
Canonical Correlation Analysis},
author = {Xubo Yue},
year = {2018},
note = {R package version 0.1.0},
url = {https://CRAN.R-project.org/package=brainKCCA},
}
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('brainKCCA')
# from GitHub
neuro_install('brainKCCA', release = "stable", release_repo = "github")
neuro_install('brainKCCA', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
Initially submitted on | October 2 2018 2:31PM |
Last updated on | October 15 2020 2:50PM |
Package type | standard |
Source GitHub | https://github.com/kangjian2016/brainKCCA GitHub |
Neuroconductor GitHub | https://github.com/neuroconductor/brainKCCA GitHub |