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>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL]
NeedsCompilation: no
CRAN checks: brainKCCA results


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


Package source: brainKCCA_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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