Two-Sample Tests for Equality of Means in High Dimension

Documentation for package ‘highD2pop’ version 1.0

highD2pop-package	Two-sample tests for equality of means in high dimension
build2popData	Data simulator for the high-dimensional two-sample setting
build2popData_muYafunction	Data simulator for the high-dimensional two-sample setting
center	The centering value for the test statistic
ChenQin.sim	Chen Qin Simulator
ChenQin.test	Chen's and Qin's test for equality of two mean vectors
chr1qseg	Copy number data along a segment of the q arm of chromosome 1
CLX.Covtest	Cai, Liu, and Xia test for equality of two mean vectors
CLX.sim.Covtest	Cai, Liu, and Xia equal means test simulator
CLX.sim.equalcov	Cai, Liu, and Xia equal means test simulator under equal covariances
CLX.sim.unequalcov	Cai, Liu, and Xia equal means test simulator under unequal covariances
CLX.test.equalcov	Cai, Liu, and Xia equal means test under equal covariances
CLX.test.unequalcov	Cai, Liu, and Xia equal means test under unequal covariances
GCT.sim	Generalized component test simulator
GCT.test	Generalized component test
GCT.test.missing	Generalized component test for missing data
highD2pop	Two-sample tests for equality of means in high dimension
rdblepareto	The double pareto distribution
rgammashift	The centered gamma distribution
SK.sim	Srivastava and Kubokawa Simulator
SK.test	Srivastava and Kubokawa test for equal means