highDmean: Testing Two-Sample Mean in High Dimension
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.
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