{ "_id": "69e1b78dc5259ad4cd92af9d", "Package": "Rtapas", "Title": "Random Tanglegram Partitions", "Version": "1.2", "Authors@R": "c(person(\"Mar\", \"Llaberia-Robledillo\", role = c(\"aut\", \"cre\", \"cph\"), email = \"mar.llaberia@uv.es\", comment = c(ORCID = \"0000-0002-7989-796X\")),\nperson(\"Juan A.\", \"Balbuena\", role = c(\"aut\", \"cph\"), email = \"j.a.balbuena@uv.es\", comment = c(ORCID = \"0000-0003-4006-1353\")),\nperson(\"José Ignacio\", \"Lucas-Lledó\", role = c(\"aut\", \"cph\"), comment = c(ORCID = \"0000-0001-6254-8942\")),\nperson(\"Oscar Alejandro\", \"Pérez-Escobar\", role = c(\"aut\", \"cph\"), comment = c(ORCID = \"0000-0001-9166-2410\"))\n)", "Description": "Applies a given global-fit method to random partial\ntanglegrams of a fixed size to identify the associations,\nterminals, and nodes that maximize phylogenetic (in)congruence.\nIt also includes functions to compute more easily the\nconfidence intervals of classification metrics and plot\nresults, reducing computational time. See \"Llaberia-Robledillo\net al. (2023, )\".", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "TRUE", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "NeedsCompilation": "no", "Config/testthat/edition": "3", "Config/pak/sysreqs": "libglpk-dev libicu-dev libxml2-dev", "Repository": "https://mllaberia.r-universe.dev", "Date/Publication": "2024-06-05 09:38:51 UTC", "RemoteUrl": "https://github.com/mllaberia/rtapas", "RemoteRef": "HEAD", "RemoteSha": "df64cc56b0d28c82258fc187be823f7c7678a105", "Packaged": { "Date": "2026-04-15 05:10:25 UTC", "User": "root" }, "Author": "Mar Llaberia-Robledillo [aut, cre, cph] (ORCID:\n),\nJuan A. 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