{ "_id": "6a12ce69acfb0bcc41d21adb", "Package": "intrinsicDimension", "Type": "Package", "Title": "Intrinsic Dimension Estimation", "Version": "1.2.0", "Date": "2019-05-23", "Author": "Kerstin Johnsson, Lund University", "Maintainer": "Kerstin Johnsson ", "Description": "A variety of methods for estimating intrinsic dimension of\ndata sets (i.e the manifold or Hausdorff dimension of the\nsupport of the distribution that generated the data) as\nreviewed in Johnsson, K. (2016, ISBN:978-91-7623-921-6) and\nJohnsson, K., Soneson, C. and Fontes, M. (2015)\n. Furthermore, to evaluate the\nperformance of these estimators, functions for generating data\nsets with given intrinsic dimensions are provided.", "License": "MIT + file LICENSE", "LazyLoad": "yes", "RoxygenNote": "6.0.1", "VignetteBuilder": "knitr", "Repository": "https://kjohnsson.r-universe.dev", "Date/Publication": "2019-05-23 09:52:22 UTC", "RemoteUrl": "https://github.com/kjohnsson/intrinsicdimension", "RemoteRef": "HEAD", "RemoteSha": "58229b57ccd3349d206ddf80009e492e46fd421d", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-24 10:06:55 UTC", "User": "root" }, "MD5sum": "e02354e7f5c0a3efe8e4b4dbb5ad3823", "_user": "kjohnsson", "_type": "src", "_file": "intrinsicDimension_1.2.0.tar.gz", "_fileid": "f2cdfb029124a0e51fd75e6cd6442ebb4c0a6e2b1cd3b7a36bcd6b93a1e0177c", "_filesize": 326702, "_sha256": "f2cdfb029124a0e51fd75e6cd6442ebb4c0a6e2b1cd3b7a36bcd6b93a1e0177c", "_created": "2026-05-24T10:06:55.000Z", "_published": "2026-05-24T10:09:45.571Z", "_distro": "noble", "_jobs": 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