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| 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 |