{ "_id": "6a12b35cacfb0bcc41d19edf", "Package": "scR", "Title": "Estimate Vapnik-Chervonenkis Dimension and Sample Complexity", "Version": "0.4.0", "Authors@R": "c(person(\"Perry\", \"Carter\", , \"pjc504@nyu.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-4684-6533\")),\nperson(\"Dahyun\", \"Choi\", , \"dahyunc@princeton.edu\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-2628-1467\")))", "Description": "We provide a suite of tools for estimating the sample\ncomplexity of a chosen model through theoretical bounds and\nsimulation. The package incorporates methods for estimating the\nVapnik-Chervonenkis dimension (VCD) of a chosen algorithm,\nwhich can be used to estimate its sample complexity.\nAlternatively, we provide simulation methods to estimate sample\ncomplexity directly. For more details, see Carter, P & Choi, D\n(2024). \"Learning from Noise: Applying Sample Complexity for\nPolitical Science Research\" .", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "URL": "https://github.com/pjesscarter/scR", "BugReports": "https://github.com/pjesscarter/scR/issues", "LazyData": "true", "LazyDataCompression": "xz", "License": "MIT + file LICENSE", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-24 08:08:08 UTC", "User": "root" }, "Author": "Perry Carter [aut, cre]\n(), Dahyun Choi [aut]\n()", "Maintainer": "Perry Carter ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-12-23 12:30:02 UTC", "RemoteUrl": "https://github.com/cran/scR", "RemoteRef": "HEAD", "RemoteSha": "4cd186ff04f2271ae5b91409ae4cd1eccb79e643", "MD5sum": "05140a732aaed92c10f4a8269b4b3b08", "_user": "cran", "_type": "src", "_file": "scR_0.4.0.tar.gz", "_fileid": "68cb689628038f11a1e15c017fc32fd275bc41fea93bba7ae66e198ba44c7c31", "_filesize": 2975920, "_sha256": 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