Package: mvnormalTest
Type: Package
Title: Powerful Tests for Multivariate Normality
Version: 1.0.1
Date: 2025-06-02
Authors@R: c(
    person("Yian", "Zhang", email = "yz2777@nyu.edu", role = c("aut","cre")),
    person("Ming", "Zhou", email = "zhouming1027@gmail.com", role = "aut"),
    person("Yongzhao", "Shao", email = "yongzhao.shao@nyulangone.org", role = "aut"))
Author: Yian Zhang [aut, cre], Ming Zhou [aut], Yongzhao Shao [aut]
Maintainer: Yian Zhang <yz2777@nyu.edu>
Description: A simple informative powerful test (mvnTest()) for
        multivariate normality proposed by Zhou and Shao (2014)
        <doi:10.1080/02664763.2013.839637>, which combines kurtosis
        with Shapiro-Wilk test that is easy for biomedical researchers
        to understand and easy to implement in all dimensions. This
        package also contains some other multivariate normality tests
        including Fattorini's FA test (faTest()), Mardia's skewness and
        kurtosis test (mardia()), Henze-Zirkler's test (mhz()), Bowman
        and Shenton's test (msk()), Royston’s H test (msw()), and
        Villasenor-Alva and Gonzalez-Estrada's test (msw()). Empirical
        power calculation functions for these tests are also provided.
        In addition, this package includes some functions to generate
        several types of multivariate distributions mentioned in Zhou
        and Shao (2014).
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats, nortest, moments, copula
Suggests: knitr
Depends: R (>= 3.5.0)
Language: en-US
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2026-10-17 08:29:55 UTC; root
Config/pak/sysreqs: libgsl0-dev
Repository: https://yz2777.r-universe.dev
Date/Publication: 2025-06-04 05:30:02 UTC
RemoteUrl: https://github.com/cran/mvnormalTest
RemoteRef: HEAD
RemoteSha: 87155675caca9aac9e789d4bf243f455a16dc86e