{ "_id": "6ad3262e90c8bbdf41a512fc", "Package": "phylosignalDB", "Title": "Explore Phylogenetic Signals Using Distance-Based Methods", "Version": "0.2.2", "Authors@R": "c(\nperson(\"Liang\", \"Yao\", email = \"dylanyao@126.com\", role = c(\"aut\", \"cre\")),\nperson(\"Ye\", \"Yuan\", email = \"yuanye_1985@126.com\", role = c(\"aut\")))", "Description": "A unified method, called M statistic, is provided for\ndetecting phylogenetic signals in continuous traits, discrete\ntraits, and multi-trait combinations. Blomberg and Garland\n(2002) provided a widely\naccepted statistical definition of the phylogenetic signal,\nwhich is the \"tendency for related species to resemble each\nother more than they resemble species drawn at random from the\ntree\". The M statistic strictly adheres to the definition of\nphylogenetic signal, formulating an index and developing a\nmethod of testing in strict accordance with the definition,\ninstead of relying on correlation analysis or evolutionary\nmodels. The novel method equivalently expressed the textual\ndefinition of the phylogenetic signal as an inequality equation\nof the phylogenetic and trait distances and constructed the M\nstatistic. Also, there are more distance-based methods under\ndevelopment.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "LazyData": "true", "URL": "https://github.com/anonymous-eco/phylosignalDB", "BugReports": "https://github.com/anonymous-eco/phylosignalDB/issues", "Config/testthat/edition": "3", "Repository": "https://anonymous-eco.r-universe.dev", "Date/Publication": "2025-01-16 06:36:50 UTC", "RemoteUrl": "https://github.com/anonymous-eco/phylosignaldb", "RemoteRef": "HEAD", "RemoteSha": "d7c68149bbc132f14d44315bbdd64ba5e1d26713", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-17 07:35:58 UTC", "User": "root" }, "Author": "Liang Yao [aut, cre],\nYe Yuan [aut]", "Maintainer": "Liang Yao ", "_user": "anonymous-eco", "_type": "src", "_file": "phylosignalDB_0.2.2.tar.gz", "_fileid": "https://r2.ropensci.org/7a4d7687b5a1f3a9baa1990f93aab2bdb975feac57c205b918cd7578befd8105", "_filesize": 133738, "_sha256": 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