{ "_id": "6a3103f33efcd9bda43545c9", "Package": "intRinsic", "Title": "Likelihood-Based Intrinsic Dimension Estimators", "Version": "1.1.2", "Authors@R": "c(\nperson(\"Francesco\", \"Denti\", ,\"francescodenti.personal@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-2978-4702\")),\nperson(\"Andrea\", \"Gilardi\", ,\"andrea.gilardi@unimib.it\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-9424-7439\"))\n)", "Maintainer": "Francesco Denti ", "Description": "Provides functions to estimate the intrinsic dimension of\na dataset via likelihood-based approaches. Specifically, the\npackage implements the 'TWO-NN' and 'Gride' estimators and the\n'Hidalgo' Bayesian mixture model. In addition, the first\nreference contains an extended vignette on the usage of the\n'TWO-NN' and 'Hidalgo' models. References: Denti (2023,\n); Allegra et al. (2020,\n); Denti et al. (2022,\n); Facco et al. (2017,\n); Santos-Fernandez et al.\n(2021, ).", "License": "MIT + file LICENSE", "URL": "https://github.com/Fradenti/intRinsic", "BugReports": "https://github.com/fradenti/intRinsic/issues", "NeedsCompilation": "yes", "ByteCompile": "true", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Packaged": { "Date": "2026-06-16 08:01:41 UTC", "User": "root" }, "Author": "Francesco Denti [aut, cre, cph] (ORCID:\n), Andrea Gilardi [aut]\n(ORCID: )", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-12-17 14:40:08 UTC", "RemoteUrl": "https://github.com/cran/intRinsic", "RemoteRef": "HEAD", "RemoteSha": "ecf4aa20b9030666171940917e4186bd6be34f18", "MD5sum": "6a6872683c498e1941f9a4cec3e05bab", "_user": "cran", "_type": "src", "_file": "intRinsic_1.1.2.tar.gz", "_fileid": "c60245acfafd5e393ea95aa095e713a041f5defb86c11283678bc9b284ce1fd0", "_filesize": 500593, "_sha256": "c60245acfafd5e393ea95aa095e713a041f5defb86c11283678bc9b284ce1fd0", "_created": "2026-06-16T08:01:41.000Z", 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