{ "_id": "6abe319399f7aa8c6aa53824", "Package": "rawKS", "Title": "Easily Get True-Positive Rate and False-Positive Rate and KS\nStatistic", "Version": "0.1.0", "Authors@R": "person(given = \"Jiaxiang\",\nfamily = \"Li\",\nrole = c(\"aut\", \"cre\"),\nemail = \"alex.lijiaxiang@foxmail.com\",\ncomment = c(ORCID = \"https://orcid.org/0000-0003-3196-6492\"))", "Description": "The Kolmogorov-Smirnov (K-S) statistic is a standard\nmethod to measure the model strength for credit risk scoring\nmodels. This package calculates the K–S statistic and plots the\ntrue-positive rate and false-positive rate to measure the model\nstrength. This package was written with the credit marketer,\nwho uses risk models in conjunction with his campaigns. The\nusers could read more details from Thrasher (1992)\n and 'pyks'\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "6.1.1", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://jiaxiangbu.r-universe.dev", "Date/Publication": "2020-02-08 12:10:14 UTC", "RemoteUrl": "https://github.com/jiaxiangbu/rawks", "RemoteRef": "HEAD", "RemoteSha": "37b24cfc2c40e339bd808f16ec914427f35f58dd", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-01 10:07:25 UTC", "User": "root" }, "Author": "Jiaxiang Li [aut, cre] (ORCID: )", "Maintainer": "Jiaxiang Li ", "_user": "jiaxiangbu", "_type": "src", "_file": "rawKS_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/fa201774c85206358891b6c2b7cfe32e25f5caeb2e328020192f7603d60b9ca9", "_filesize": 185166, "_sha256": "fa201774c85206358891b6c2b7cfe32e25f5caeb2e328020192f7603d60b9ca9", "_expires": "2027-01-09T10:10:25.000Z", "_created": 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