{ "_id": "6a1f2088b401979e734203f0", "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", "Config/pak/sysreqs": "libicu-dev libclang-dev", "Repository": "https://fradenti.r-universe.dev", "Date/Publication": "2025-12-17 14:16:45 UTC", "RemoteUrl": "https://github.com/fradenti/intrinsic", "RemoteRef": "HEAD", "RemoteSha": "ae926a618e6a044cb55fde1f099a50d48549b0ed", "Packaged": { "Date": "2026-05-16 07:54:12 UTC", "User": "root" }, "Author": "Francesco Denti [aut, cre, cph] (ORCID:\n),\nAndrea Gilardi [aut] (ORCID: )", "MD5sum": "55aff17f48ee18d3a4511a28105f34db", "_user": "fradenti", "_type": "src", "_file": "intRinsic_1.1.2.tar.gz", "_fileid": "7d7543a6f020469c578f9c87fea612759503a2ef1c7f94f641edba610163544b", "_filesize": 499716, "_sha256": 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simulated bootstrap sample for the MLE 'Gride'", "topics": [ "autoplot.gride_mle" ] }, { "page": "autoplot.Hidalgo", "title": "Plot the output of the 'Hidalgo' function", "concept": [ "autoplot methods" ], "topics": [ "autoplot.Hidalgo" ] }, { "page": "autoplot.twonn_bayes", "title": "Plot the output of the 'TWO-NN' model estimated via the Bayesian approach", "concept": [ "autoplot methods" ], "topics": [ "autoplot.twonn_bayes" ] }, { "page": "autoplot.twonn_linfit", "title": "Plot the output of the 'TWO-NN' model estimated via least squares", "concept": [ "autoplot methods" ], "topics": [ "autoplot.twonn_linfit" ] }, { "page": "autoplot.twonn_mle", "title": "Plot the output of the 'TWO-NN' model estimated via the Maximum Likelihood approach", "concept": [ "autoplot methods" ], "topics": [ "autoplot.twonn_mle" ] }, { "page": "auxHidalgo", "title": "Auxiliary functions for the 'Hidalgo' model", "topics": [ "auxHidalgo", "credible_intervals", "initial_values", "posterior_means", 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