Analysis of network community objects with applications to neuroimaging data. There are two main components to this package. The first is the hierarchical multimodal spinglass (HMS) algorithm, which is a novel community detection algorithm specifically tailored to the unique issues within brain connectivity. The other is a suite of semiparametric kernel machine methods that allow for statistical inference to be performed to test for potential associations between these community structures and an outcome of interest (binary or continuous).
Version: 1.0.1 Depends: R (≥ 4.0.0) Imports: ggnewscale, ggplot2, gridExtra, Matrix, RColorBrewer, reshape2 Suggests: knitr, matrixcalc, pheatmap, rmarkdown Published: 2022-09-23 DOI: 10.32614/CRAN.package.CommKern Author: Alexandria Jensen [aut, cre], Peter DeWitt [ctb], Debashis Ghosh [ths] Maintainer: Alexandria Jensen <alexandria.jensen at cuanschutz.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/aljensen89/CommKern NeedsCompilation: no Language: en-us Materials: README NEWS CRAN checks: CommKern results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CommKern to link to this page.
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