{ "_id": "6a268621794753ddbc3f2207", "Package": "cocorresp", "Type": "Package", "Title": "Co-Correspondence Analysis Methods", "Version": "0.4-6", "Date": "2025-04-04", "Authors@R": "c(person(c(\"Gavin\", \"L.\"), \"Simpson\",\nemail = \"ucfagls@gmail.com\", role = c(\"aut\", \"cre\", \"trl\"),\ncomment = \"R port of Matlab routines, plus additional code\"),\nperson(c(\"Cajo\", \"J.F.\"), \"ter Braak\",\nrole = c(\"aut\"),\ncomment = \"Original Matlab routines\"),\nperson(c(\"Andre\", \"P\"), \"Schaffers\",\nrole = c(\"aut\"),\ncomment = \"Original Matlab routines\"),\nperson(\"Ron\", \"Wehrens\",\nrole = c(\"aut\"),\ncomment = \"For simpls.fit()\"),\nperson(\"Bjorn-Helge\", \"Mevik\",\nrole = c(\"aut\"),\ncomment = \"For simpls.fit()\")\n)", "Description": "Fits predictive and symmetric co-correspondence analysis\n(CoCA) models to relate one data matrix to another data matrix.\nMore specifically, CoCA maximises the weighted covariance\nbetween the weighted averaged species scores of one community\nand the weighted averaged species scores of another community.\nCoCA attempts to find patterns that are common to both\ncommunities.", "License": "GPL-2", "URL": "https://gavinsimpson.github.io/cocorresp/", "BugReports": "https://github.com/gavinsimpson/cocorresp/issues", "VignetteBuilder": "knitr", "Language": "en-GB", "Repository": "https://gavinsimpson.r-universe.dev", "Date/Publication": "2025-04-04 08:24:55 UTC", "RemoteUrl": "https://github.com/gavinsimpson/cocorresp", "RemoteRef": "HEAD", "RemoteSha": "9d405b7d0160c1f713a7a4cf8955237096af8f2a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 09:01:28 UTC", "User": "root" }, "Author": "Gavin L. 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