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 >

Documentation

 
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 November 8 2019 9:36PM
Package type standard
Source GitHub https://github.com/kangjian2016/brainKCCA GitHub
Neuroconductor GitHub https://github.com/neuroconductor/brainKCCA GitHub
DependsR (2.10.0)
ImportsCCA, kernlab, parallel, elasticnet, rgl, brainR, misc3d, oro.nifti, utils, knitr
Suggestsrmarkdown