Testing Two-Sample Mean in High Dimension
Two-sample datasets generator
highDmean: A package for testing of equal mean for two-sample high dim...
Random sample from shifted gamma distribution
Apply the SKK test to multiple simulated two-sample datasets
High-dimensional two-sample test (SKK) proposed by Srivastava, Katayam...
Apply the test by Zhang and Wang (2020) to multiple simulated two-samp...
High-dimensional two-sample test proposed by Zhang and Wang (2020)
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.