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CommKern: Network-Based Communities and Kernel Machine Methods
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:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.