{ "_id": "6a19714cacfb0bcc41dedb4b", "Package": "RRPP", "Title": "Linear Model Evaluation with Randomized Residuals in a\nPermutation Procedure", "Version": "2.1.2.999", "Authors@R": "c(\nperson(\"Michael\", \"Collyer\", , \"mlcollyer@gmail.com\", c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-0238-2201\")),\nperson(\"Dean\", \"Adams\", , role = \"aut\",\ncomment = c(ORCID = \"0000-0001-9172-7894\"))\n)", "Description": "Linear model calculations are made for many random\nversions of data. Using residual randomization in a permutation\nprocedure, sums of squares are calculated over many\npermutations to generate empirical probability distributions\nfor evaluating model effects. Additionally, coefficients,\nstatistics, fitted values, and residuals generated over many\npermutations can be used for various procedures including\npairwise tests, prediction, classification, and model\ncomparison. This package should provide most tools one could\nneed for the analysis of high-dimensional data, especially in\necology and evolutionary biology, but certainly other fields,\nas well.", "License": "GPL (>= 3)", "URL": "https://github.com/mlcollyer/RRPP", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-29 09:17:07 UTC", "User": "root" }, "Author": "Michael Collyer [aut, cre]\n(), Dean Adams [aut]\n()", "Maintainer": "Michael Collyer ", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake make", "Repository": "https://mlcollyer.r-universe.dev", "Date/Publication": "2026-04-28 20:20:17 UTC", "RemoteUrl": "https://github.com/mlcollyer/rrpp", "RemoteRef": "HEAD", "RemoteSha": "382b3d6c94a72de134c147001e5a95e7e38f66b5", "MD5sum": "54428265e4508f988e4d51ed17126429", "_user": "mlcollyer", "_type": "src", "_file": "RRPP_2.1.2.999.tar.gz", "_fileid": 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