Package: CommKern Version: 1.0.1 Title: Network-Based Communities and Kernel Machine Methods Authors@R: c(person(given = "Alexandria", family = "Jensen", email = "alexandria.jensen@cuanschutz.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6337-9079")), person(given = "Peter", family = "DeWitt", email = "peter.dewitt@cuanschutz.edu", role = c("ctb"), comment = c(ORCID = "0000-0002-6391-0795")), person(given = "Debashis", family = "Ghosh", email = "debashis.ghosh@cuanschutz.edu", role = c("ths"), comment = c(ORCID = "0000-0001-6618-1316")) ) Description: 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). Depends: R (>= 4.0.0) License: GPL (>= 2) Encoding: UTF-8 URL: https://github.com/aljensen89/CommKern Language: en-us LazyData: true Imports: ggnewscale, ggplot2, gridExtra, Matrix, RColorBrewer, reshape2 Suggests: knitr, matrixcalc, pheatmap, rmarkdown RoxygenNote: 7.2.1 VignetteBuilder: knitr Config/pak/sysreqs: libicu-dev Repository: https://aljensen89.r-universe.dev Date/Publication: 2022-09-22 18:29:41 UTC RemoteUrl: https://github.com/aljensen89/commkern RemoteRef: HEAD RemoteSha: 82f9840ba697b86e00bd26c9f03f7500d51c131e NeedsCompilation: no Packaged: 2026-06-22 08:00:56 UTC; root Author: Alexandria Jensen [aut, cre] (ORCID: ), Peter DeWitt [ctb] (ORCID: ), Debashis Ghosh [ths] (ORCID: ) Maintainer: Alexandria Jensen