Description Usage Arguments Value References See Also Examples

Conduct quadratically regularized canonical correlation analysis.

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`A` |
The first input data matrix. |

`A_thres` |
The cut-off threshold for the low rank approximation of the first input data matrix. |

`B` |
The second input data matrix. |

`B_thres` |
The cut-off threshold for the low rank approximation of the second input data matrix. |

`Z` |
The potential covariates for the canonical correaltion analysis. The default value for Z is NULL. |

The output is a list.

`rho` |
a numeric vector of canonical correlation coefficients |

`chisq_p` |
p_value between 0 and 1 by using chi-square test |

Lin N, Zhu Y, Fan R, Xiong M. A quadratically regularized functional canonical correlation analysis for identifying the global structure of pleiotropy with NGS data. PLOS Computational Biology. 2017;13(10):e1005788. doi: 10.1371/journal.pcbi.1005788.

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