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  "Title": "Powerful Tests for Multivariate Normality",
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  "Date": "2025-06-02",
  "Authors@R": "c(\nperson(\"Yian\", \"Zhang\", email = \"yz2777@nyu.edu\", role = c(\"aut\",\"cre\")),\nperson(\"Ming\", \"Zhou\", email = \"zhouming1027@gmail.com\", role = \"aut\"),\nperson(\"Yongzhao\", \"Shao\", email = \"yongzhao.shao@nyulangone.org\", role = \"aut\"))",
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  "Maintainer": "Yian Zhang <yz2777@nyu.edu>",
  "Description": "A simple informative powerful test (mvnTest()) for\nmultivariate normality proposed by Zhou and Shao (2014)\n<doi:10.1080/02664763.2013.839637>, which combines kurtosis\nwith Shapiro-Wilk test that is easy for biomedical researchers\nto understand and easy to implement in all dimensions. This\npackage also contains some other multivariate normality tests\nincluding Fattorini's FA test (faTest()), Mardia's skewness and\nkurtosis test (mardia()), Henze-Zirkler's test (mhz()), Bowman\nand Shenton's test (msk()), Royston’s H test (msw()), and\nVillasenor-Alva and Gonzalez-Estrada's test (msw()). Empirical\npower calculation functions for these tests are also provided.\nIn addition, this package includes some functions to generate\nseveral types of multivariate distributions mentioned in Zhou\nand Shao (2014).",
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