Description Usage Arguments References

Tests whether to reject the null hypothesis that a set of q hypothetical eigenvectors are equal to the first q likelihood eigenvectors in CPC, based on equation 3.3 (Flury, 1986). The value q must be a value of 2 or greater. For q=1, see the function h_one.

1 | ```
h_many(matList, n, betaList)
``` |

`matList` |
list of matrices |

`n` |
numeric vector of sample sizes |

`betaList` |
list of eigenvectors (organized from largest to smallest eigenvalue) to be compared to7 |

Flury B.N. Asymptotic theory for common principal component analysis. Annals Statist. 1986. 14, 418-430.

bbolker/cpcbp documentation built on May 10, 2017, 10:26 p.m.

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