{ "_id": "6a11465cacfb0bcc41ce79be", "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\")),\nperson(given = \"Peter\", family = \"DeWitt\", email = \"peter.dewitt@cuanschutz.edu\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0002-6391-0795\")),\nperson(given = \"Debashis\", family = \"Ghosh\", email = \"debashis.ghosh@cuanschutz.edu\", role = c(\"ths\"), comment = c(ORCID = \"0000-0001-6618-1316\"))\n)", "Description": "Analysis of network community objects with applications to\nneuroimaging data. There are two main components to this\npackage. The first is the hierarchical multimodal spinglass\n(HMS) algorithm, which is a novel community detection algorithm\nspecifically tailored to the unique issues within brain\nconnectivity. The other is a suite of semiparametric kernel\nmachine methods that allow for statistical inference to be\nperformed to test for potential associations between these\ncommunity structures and an outcome of interest (binary or\ncontinuous).", "License": "GPL (>= 2)", "Encoding": "UTF-8", "URL": "https://github.com/aljensen89/CommKern", "Language": "en-us", "LazyData": "true", "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": { "Date": "2026-05-23 06:13:52 UTC", "User": "root" }, "Author": "Alexandria Jensen [aut, cre] (ORCID:\n),\nPeter DeWitt [ctb] (ORCID: ),\nDebashis Ghosh [ths] (ORCID: )", "Maintainer": "Alexandria Jensen ", "MD5sum": "dee69af50c6ddf84c82e7c34e47054ae", "_user": 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