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')

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
  Versions(Pending - no previous version)
 
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 March 31 2021 10:00AM
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