{ "_id": "6a0f7078acfb0bcc41c5f4e9", "Package": "concorR", "Type": "Package", "Title": "CONCOR and Supplemental Functions", "Version": "0.2.1.9000", "Authors@R": "c(\nperson(\"Tyme\", \"Suda\", email = \"suda.4@wright.edu\", role = \"aut\"),\nperson(\"Adrienne\", \"Traxler\", email = \"atraxler@ind.ku.dk\",\nrole = \"cre\", comment = c(ORCID = \"0000-0003-2725-0686\")),\nperson(\"Steven\", \"Wolf\", email = \"wolfs15@ecu.edu\",\nrole = \"aut\", comment = c(ORCID = \"0000-0003-1434-2944\")),\nperson(\"Carter\", \"Butts\", email = \"buttsc@uci.edu\", role = \"ctb\",\ncomment = \"Author of sna::plot.blockmodel(), adapted for plot_blk()\"))", "Description": "Contains the CONCOR (CONvergence of iterated CORrelations)\nalgorithm and a series of supplemental functions for easy\nrunning, plotting, and blockmodeling. The CONCOR algorithm is\nused on social network data to identify network positions based\noff a definition of structural equivalence; see Breiger,\nBoorman, and Arabie (1975) \nand Wasserman and Faust's book Social Network Analysis: Methods\nand Applications (1994). This version allows multiple\nrelationships for the same set of nodes and uses both incoming\nand outgoing ties to find positions.", "License": "GPL (>=2)", "Encoding": "UTF-8", "LazyData": "true", "URL": "https://github.com/ATraxLab/concorR", "BugReports": "https://github.com/ATraxLab/concorR/issues", "RoxygenNote": "7.1.1", "Config/pak/sysreqs": "libglpk-dev libxml2-dev", "Repository": "https://atraxlab.r-universe.dev", "Date/Publication": "2023-06-28 14:41:15 UTC", "RemoteUrl": "https://github.com/atraxlab/concorr", "RemoteRef": "HEAD", "RemoteSha": "1ca6eb1daf399a135b56d9eece5da9a21c563e3d", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 07:29:16 UTC", "User": "root" }, "Author": "Tyme Suda [aut],\nAdrienne Traxler [cre] (ORCID: ),\nSteven Wolf [aut] (ORCID: ),\nCarter Butts [ctb] (Author of sna::plot.blockmodel(), adapted for\nplot_blk())", "Maintainer": "Adrienne Traxler ", "MD5sum": "5c366ff1bd42ee0526052c3990c90c17", "_user": "atraxlab", "_type": "src", "_file": 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