Package: highDmean
Type: Package
Title: Testing Two-Sample Mean in High Dimension
Version: 0.1.0
Author: Huaiyu Zhang, Haiyan Wang
Maintainer: Huaiyu Zhang <huaiyuzhang1988@gmail.com>
Description: Implements the high-dimensional two-sample test proposed
        by Zhang (2019) <http://hdl.handle.net/2097/40235>. It also
        implements the test proposed by Srivastava, Katayama, and Kano
        (2013) <doi:10.1016/j.jmva.2012.08.014>. These tests are
        particularly suitable to high dimensional data from two
        populations for which the classical multivariate Hotelling's
        T-square test fails due to sample sizes smaller than
        dimensionality. In this case, the ZWL and ZWLm tests proposed
        by Zhang (2019) <http://hdl.handle.net/2097/40235>, referred to
        as zwl_test() in this package, provide a reliable and powerful
        test.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.1.0)
Imports: stats
NeedsCompilation: no
Packaged: 2026-10-08 08:31:46 UTC; root
Repository: https://huaiyuzhang.r-universe.dev
Date/Publication: 2020-06-12 09:30:08 UTC
RemoteUrl: https://github.com/cran/highDmean
RemoteRef: HEAD
RemoteSha: 4c817fbddb52a6540252ad49e7def69b82681350