Description Usage Arguments Details Value Author(s) References

Testing the equality of two high dimensional mean vectors using the testing procedure by Cai, Liu and Xia (2014).

1 | ```
CLX(X, Y, alpha, DNAME)
``` |

`X` |
The n x p data matrix from the sample 1 |

`Y` |
The n x p data matrix from the sample 2. |

`alpha` |
The prescribed level of significance |

`DNAME` |
Default input. |

Implementing testing procedure proposed by Cai, Liu, and Xia (2014) to test the equality of two sample high dimensional mean vectors under the assumption of sparsity of signals.

Value of testing statistic, p-value, alternative hypothesis, and the name of testing procedure.

Tong He

T. Cai, W. Liu, and Y. Xia (2014). Two-sample test of high dimensional means under dependence. J. R. Statist. Soc. B. 76, 349–372

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