{ "_id": "6a10002cacfb0bcc41c7ae66", "Package": "ROOPSD", "Title": "R Object Oriented Programming for Statistical Distribution", "Date": "2023-09-11", "Version": "0.3.9", "Authors@R": "person(\"Yoann\", \"Robin\", email = \"yoann.robin.k@gmail.com\", role = c(\"aut\", \"cre\"))", "Description": "Statistical distribution in OOP (Object Oriented\nProgramming) way. This package proposes a R6 class interface to\nclassic statistical distribution, and new distributions can be\neasily added with the class AbstractDist. A useful point is the\ngeneric fit() method for each class, which uses a maximum\nlikelihood estimation to find the parameters of a dataset, see,\ne.g. Hastie, T. and al (2009) .\nFurthermore, the rv_histogram class gives a non-parametric fit,\nwith the same accessors that for the classic distribution.\nFinally, three random generators useful to build synthetic data\nare given: a multivariate normal generator, an orthogonal\nmatrix generator, and a symmetric positive definite matrix\ngenerator, see Mezzadri, F. (2007) .", "URL": "https://github.com/yrobink/ROOPSD", "License": "CeCILL-2", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "Repository": "https://yrobink.r-universe.dev", "Date/Publication": "2023-09-11 06:55:14 UTC", "RemoteUrl": "https://github.com/yrobink/roopsd", "RemoteRef": "HEAD", "RemoteSha": "1a51d74a0b66d348213419f3517dc3621a34ce58", "RemoteSubdir": "ROOPSD", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-22 06:59:38 UTC", "User": "root" }, "Author": "Yoann Robin [aut, cre]", "Maintainer": "Yoann Robin ", "MD5sum": "69ef8f6a31ba047eb330bbe8b0c2a3d3", "_user": "yrobink", "_type": "src", "_file": "ROOPSD_0.3.9.tar.gz", "_fileid": "99bbdc90df25076b20e357e4d31fa3b19258630975ae51b152d689887fcdaef7", "_filesize": 73040, "_sha256": "99bbdc90df25076b20e357e4d31fa3b19258630975ae51b152d689887fcdaef7", "_created": "2026-05-22T06:59:38.000Z", "_published": "2026-05-22T07:05:16.062Z", "_distro": "noble", "_jobs": [ { "job": 77331803126, "time": 146, "config": 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