Package: ARHT
Type: Package
Title: Adaptable Regularized Hotelling's T^2 Test for High-Dimensional
        Data
Version: 0.1.0
Authors@R: person("Haoran", "Li", email = "hrli@ucdavis.edu", role = c("aut", "cre"))
Description: Perform the Adaptable Regularized Hotelling's T^2 test
        (ARHT) proposed by Li et al., (2016) <arXiv:1609.08725>. Both
        one-sample and two-sample mean test are available with various
        probabilistic alternative prior models. It contains a function
        to consistently estimate higher order moments of the population
        covariance spectral distribution using the spectral of the
        sample covariance matrix (Bai et al. (2010)
        <doi:10.1111/j.1467-842X.2010.00590.x>). In addition, it
        contains a function to sample from 3-variate chi-squared random
        vectors approximately with a given correlation matrix when the
        degrees of freedom are large.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: stats
RoxygenNote: 6.0.1
Suggests: testthat
Repository: https://haoranli.r-universe.dev
Date/Publication: 2018-04-10 22:42:52 UTC
RemoteUrl: https://github.com/haoranli/arht
RemoteRef: HEAD
RemoteSha: c7e783308acea2148563cc44bfe6e41d895c561c
NeedsCompilation: no
Packaged: 2026-10-07 09:20:32 UTC; root
Author: Haoran Li [aut, cre]
Maintainer: Haoran Li <hrli@ucdavis.edu>