{ "_id": "6ae4720f8d250e7ad09f1c52", "Package": "EcoNiche", "Type": "Package", "Title": "Community Niche Position and Width Estimation Tools", "Version": "1.0.3", "Authors@R": "c(\nperson(\"Shuotao\", \"Zhou\", , \"zhoushuotao@stu.hunau.edu.cn\", role = c(\"aut\", \"cre\")),\nperson(\"Kai\", \"Feng\", , \"kaifeng@rcees.ac.cn\", role = \"aut\"),\nperson(\"Ye\", \"Deng\", , \"yedeng@rcees.ac.cn\", role = \"aut\")\n)", "Description": "Provides methods for estimating species niche position and\nniche breadth under continuous environmental gradients. The\npackage implements canonical correspondence analysis (CCA),\npartial CCA (pCCA), generalized additive models (GAM), and\nLevins' niche breadth metrics for species-level and\ncommunity-level analyses. Methods are based on ter Braak (1986)\n, Okie et al. (2015)\n, Feng et al. (2020)\n, Wood (2017)\n, and Levins (1968,\nISBN:978-0691080628).", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.3", "URL": "https://github.com/yedeng-lab/EcoNiche", "BugReports": "https://github.com/yedeng-lab/EcoNiche/issues", "Repository": "https://yedeng-lab.r-universe.dev", "Date/Publication": "2026-08-01 07:44:57 UTC", "RemoteUrl": "https://github.com/yedeng-lab/econiche", "RemoteRef": "HEAD", "RemoteSha": "46632fa1e2a1ed28efe6b0af9fbbe3ae2b5bb9ff", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-30 09:29:10 UTC", "User": "root" }, "Author": "Shuotao Zhou [aut, cre],\nKai Feng [aut],\nYe Deng [aut]", "Maintainer": "Shuotao Zhou ", "_user": "yedeng-lab", "_type": "src", "_file": "EcoNiche_1.0.3.tar.gz", "_fileid": "https://r2.ropensci.org/29dd488f8018eefbe3a34e3a2baf2e0b0dd37ab66d83283afa4fa81c5fb65c27", "_filesize": 291162, "_sha256": 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