brainKCCA: 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) <doi:10.1016/j.neuroimage.2016.06.042>.

Version:	0.1.0
Depends:	R (≥ 2.10.0)
Imports:	CCA, kernlab, parallel, elasticnet, rgl, brainR, misc3d, oro.nifti, utils, knitr
Suggests:	rmarkdown
Published:	2018-04-27
DOI:	10.32614/CRAN.package.brainKCCA
Author:	Xubo Yue [aut], Jian Kang [cre]
Maintainer:	Jian Kang <jiankang at umich.edu>
License:	LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL]
NeedsCompilation:	no
CRAN checks:	brainKCCA results

Documentation:

Reference manual:	brainKCCA.pdf
Vignettes:	Examples to build region-level connectivity network

Downloads:

Package source:	brainKCCA_0.1.0.tar.gz
Windows binaries:	r-devel: brainKCCA_0.1.0.zip, r-release: brainKCCA_0.1.0.zip, r-oldrel: brainKCCA_0.1.0.zip
macOS binaries:	r-release (arm64): brainKCCA_0.1.0.tgz, r-oldrel (arm64): brainKCCA_0.1.0.tgz, r-release (x86_64): brainKCCA_0.1.0.tgz, r-oldrel (x86_64): brainKCCA_0.1.0.tgz

Linking:

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