# Cai, Liu, and Xia equal means test under equal covariances

### Description

Performs the test in Cai, Liu, and Xia (2014) for the equality of two `p`

by `1`

population mean vectors given samples of sizes `n`

and `m`

when the popoulation covariance matrices can be assumed equal.

### Usage

1 | ```
CLX.test.equalcov(X, Y)
``` |

### Arguments

`X` |
the |

`Y` |
the |

### Value

`TSvalue` |
the value of the test statistic. |

`pvalue` |
the two-sided p-value for the test statistic. |

### Author(s)

Karl Gregory kgregory@mail.uni-mannheim.de, http://www.stat.tamu.edu/~kbgregory.

### References

Cai, T. T., Liu, W. & Xia, Y. (2014). Two-sample test of high dimensional means under dependence.
*J. R. Statist. Soc. B.*

### See Also

`CLX.sim.equalcov`

### Examples

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