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
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

Downloads:

Reference manual: brainKCCA.pdf
Vignettes: Examples to build region-level connectivity network
Package source: brainKCCA_0.1.0.tar.gz
Windows binaries: r-devel: brainKCCA_0.1.0.zip, r-devel-gcc8: brainKCCA_0.1.0.zip, r-release: brainKCCA_0.1.0.zip, r-oldrel: brainKCCA_0.1.0.zip
OS X binaries: r-release: brainKCCA_0.1.0.tgz, r-oldrel: brainKCCA_0.1.0.tgz

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