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  "Title": "Identify Zero-Inflated Distributions",
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  "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) <doi:10.1109/BHI.2019.8834661>. 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.",
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  "Author": "Lei Wang [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang\n[aut, cph]",
  "Maintainer": "Lei Wang <slimewanglei@163.com>",
  "Repository": "https://xiaomangmang.r-universe.dev",
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