{ "_id": "6a23da03530b9bc726be5e23", "Package": "gofgamma", "Type": "Package", "Title": "Goodness-of-Fit Tests for the Gamma Distribution", "Version": "1.0", "Authors@R": "c(person(\"Lucas\", \"Butsch\", email=\"lucas.butsch@gmail.com\", role=c(\"aut\")), person(\"Bruno\", \"Ebner\", email=\"bruno.ebner@kit.edu\", role = c(\"aut\", \"cre\")), person(\"Steffen\", \"Betsch\", email=\"steffen.betsch@kit.edu\", role=c(\"aut\")))", "Maintainer": "Bruno Ebner ", "Description": "We implement various classical tests for the composite\nhypothesis of testing the fit to the family of gamma\ndistributions as the Kolmogorov-Smirnov test, the Cramer-von\nMises test, the Anderson Darling test and the Watson test. For\neach test a parametric bootstrap procedure is implemented, as\nconsidered in Henze, Meintanis & Ebner (2012)\n. The recent procedures\npresented in Henze, Meintanis & Ebner (2012)\n and Betsch & Ebner (2019)\n are implemented. Estimation of\nparameters of the gamma law are implemented using the method of\nBhattacharya (2001) .", "License": "CC BY 4.0", "Encoding": "UTF-8", "RoxygenNote": "7.0.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-06 08:24:55 UTC", "User": "root" }, "Author": "Lucas Butsch [aut], Bruno Ebner [aut, cre], Steffen Betsch\n[aut]", "Repository": "https://ebner-kit.r-universe.dev", "Date/Publication": "2020-04-29 13:40:05 UTC", "RemoteUrl": "https://github.com/cran/gofgamma", "RemoteRef": "HEAD", "RemoteSha": "0f476aa1bf87fccc2322c65a5ea4fe171cab35ea", "MD5sum": "32f0ee86c71603aa2cdf73b98b874c03", "_user": "ebner-kit", "_type": "src", "_file": "gofgamma_1.0.tar.gz", "_fileid": "9de47b599c27aa447cb2e30216f3316877f2014502199d25898a380a4ba07194", "_filesize": 157030, "_sha256": "9de47b599c27aa447cb2e30216f3316877f2014502199d25898a380a4ba07194", "_created": "2026-06-06T08:24:55.000Z", "_published": "2026-06-06T08:27:47.686Z", "_distro": "noble", "_jobs": [ { "job": 79864125344, 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