brainKCCA: Region-Level Connectivity Network Construction via Kernel Canonical Correlation Analysis (original) (raw)
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 | |
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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 | |
License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
NeedsCompilation: | no | |
CRAN checks: | brainKCCA results |
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