{ "_id": "6ac8debbde46216d5edd8a9e", "Package": "iZID", "Title": "Identify Zero-Inflated Distributions", "Version": "0.0.1", "Authors@R": "c(\nperson(given = \"Lei\",\nfamily = \"Wang\",\nrole = c(\"aut\", \"cre\",'cph'),\nemail = \"slimewanglei@163.com\"),\nperson(given = \"Hani\",\nfamily = \"Aldirawi\",\nrole = c(\"aut\",'cph'),\nemail = \"haldir2@uic.edu\"),\nperson(given = \"Jie\",\nfamily = \"Yang\",\nrole = c(\"aut\",'cph'),\nemail = \"jyang06@uic.edu\"))", "Description": "Computes bootstrapped Monte Carlo estimate of p value of\nKolmogorov-Smirnov (KS) test and likelihood ratio test for\nzero-inflated count data, based on the work of Aldirawi et al.\n(2019) . With the package, user\ncan also find tools to simulate random deviates from zero\ninflated or hurdle models and obtain maximum likelihood\nestimate of unknown parameters in these models.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "6.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-09 12:29:16 UTC", "User": "root" }, "Author": "Lei Wang [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang\n[aut, cph]", "Maintainer": "Lei Wang ", "Repository": "https://xiaomangmang.r-universe.dev", "Date/Publication": "2019-11-06 11:40:02 UTC", "RemoteUrl": "https://github.com/cran/iZID", "RemoteRef": "HEAD", "RemoteSha": "9cfc679b0a69542a0b592006c55f90160f19751e", "_user": "xiaomangmang", "_type": "src", "_file": "iZID_0.0.1.tar.gz", "_fileid": "https://r2.ropensci.org/8b02b6b6b6048323274c58b1f6400adc79a6763063c8d6507127a29be625fd36", "_filesize": 241152, "_sha256": "8b02b6b6b6048323274c58b1f6400adc79a6763063c8d6507127a29be625fd36", 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