{ "_id": "6a119848acfb0bcc41cfccd6", "Type": "Package", "Package": "gips", "Title": "Gaussian Model Invariant by Permutation Symmetry", "Version": "1.2.3.9000", "Authors@R": "c(\nperson(c(\"Adam\", \"Przemysław\"), \"Chojecki\", , \"adam.prze.choj@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0008-2902-4096\")),\nperson(\"Paweł\", \"Morgen\", , \"seriousmorgen@protonmail.com\", role = \"aut\"),\nperson(\"Bartosz\", \"Kołodziejek\", , \"b.kolodziejek@mini.pw.edu.pl\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-5220-9012\"))\n)", "Description": "Find the permutation symmetry group such that the\ncovariance matrix of the given data is approximately invariant\nunder it. Discovering such a permutation decreases the number\nof observations needed to fit a Gaussian model, which is of\ngreat use when it is smaller than the number of variables. Even\nif that is not the case, the covariance matrix found with\n'gips' approximates the actual covariance with less statistical\nerror. The methods implemented in this package are described in\nGraczyk et al. (2022) . Documentation\nabout 'gips' is provided via its website at\n and the paper by Chojecki,\nMorgen, Kołodziejek (2025, ).", "License": "GPL (>= 3)", "URL": "https://github.com/PrzeChoj/gips, https://przechoj.github.io/gips/", "BugReports": "https://github.com/PrzeChoj/gips/issues", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "libgmp3-dev", "Repository": "https://przechoj.r-universe.dev", "Date/Publication": "2026-05-23 11:18:30 UTC", "RemoteUrl": "https://github.com/przechoj/gips", "RemoteRef": "HEAD", "RemoteSha": "f8e955c9185d3b6956b3d94a08ffd5e0196311ec", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-23 12:03:24 UTC", "User": "root" }, "Author": "Adam Przemysław Chojecki [aut, cre] (ORCID:\n),\nPaweł Morgen [aut],\nBartosz Kołodziejek [aut] (ORCID:\n)", "Maintainer": "Adam Przemysław Chojecki ", "MD5sum": 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