{ "_id": "6ad46b3f712795fb4dcafdbb", "Package": "weibullness", "Title": "Goodness-of-Fit Test for Weibull Distribution (Weibullness)", "Version": "1.24.1", "Date": "2024-1-9", "Authors@R": "person(given=\"Chanseok\",\nfamily=\"Park\",\nrole = c(\"aut\", \"cre\"),\nemail=\"statpnu@gmail.com\",\ncomment = c(ORCID = \"https://orcid.org/0000-0002-2208-3498\"))", "Author": "Chanseok Park [aut, cre]\n()", "Maintainer": "Chanseok Park ", "Description": "Conducts a goodness-of-fit test for the Weibull\ndistribution (referred to as the weibullness test) and\nfurnishes parameter estimations for both the two-parameter and\nthree-parameter Weibull distributions. Notably, the threshold\nparameter is derived through correlation from the Weibull plot.\nAdditionally, this package conducts goodness-of-fit assessments\nfor the exponential, Gumbel, and inverse Weibull distributions,\naccompanied by parameter estimations. For more details, see\nPark (2017) , Park (2018)\n, and Park (2023)\n. This work was supported by the\nNational Research Foundation of Korea (NRF) grants funded by\nthe Korea government (MSIT) (No. 2022R1A2C1091319,\nRS-2023-00242528).", "License": "GPL-2 | GPL-3", "URL": "https://AppliedStat.GitHub.io/R/", "BugReports": "https://github.com/AppliedStat/R/issues", "Encoding": "UTF-8", "LazyData": "yes", "LazyDataCompression": "xz", "Repository": "https://appliedstat.r-universe.dev", "Date/Publication": "2026-09-18 04:59:39 UTC", "RemoteUrl": "https://github.com/appliedstat/r", "RemoteRef": "HEAD", "RemoteSha": "7d8883286e7cd09c57a593c02ab1ba3c9bea35bd", "RemoteSubdir": "weibullness", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-18 06:25:33 UTC", "User": "root" }, "_user": "appliedstat", "_type": "src", "_file": "weibullness_1.24.1.tar.gz", "_fileid": "https://r2.ropensci.org/7186408cf6252352abdd695cc2a976f1cd6653301d6a438f96abaef96d6a1256", "_filesize": 4572656, "_sha256": "7186408cf6252352abdd695cc2a976f1cd6653301d6a438f96abaef96d6a1256", 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