Performs the generalized component test from Gregory et al (2015), as well as the tests from Chen and Qin (2010), Srivastava and Kubokawa (2013), and Cai, Liu, and Xia (2014) for equality of two population mean vectors when the length of the vectors exceeds the sample size.
|Date of publication||2014-10-25 01:28:48|
|Maintainer||Karl Gregory <email@example.com>|
|License||GPL (>= 2)|
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...
CLX.sim.unequalcov: Cai, Liu, and Xia equal means test simulator under unequal...
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-package: 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