Description Usage Arguments Value Author(s) References Examples

Inner function of fuchikoma. HSIC calculated aginst two gram-matrix means the independence of two kernel spaces. The higher HSIC value is, the more two space are dependent. When p.value set TRUE, p-value of HSIC is also calculated by moment matching to a gamma distribution.

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`K` |
First gram matrix |

`L` |
Second gram matrix |

`shrink` |
Shrinkage option when the sample size is insufficient (default:FALSE) |

`type` |
When type is gamma, p-value is calculated under the assumption of gamma distribution. When type is permutation, p-value is calculated by random permutation test (default:gamma) |

`n.perm` |
Number of permutation (default:100) |

`HSIC` |
The value of HSIC |

`Pval` |
P-value of HSIC. The value is accessible only when p.value is specified as TRUE |

Koki Tsuyuzaki, Haruka Ozaki, Mika Yoshimura, Itoshi Nikaido

Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Le Song et al. (2007) Gene selection via the BAHSIC family of algorithms, Bioinformatics, 23(13), i490-i498

Y-h Taguchi et al. (2015) Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease, BMC Bioinformatics, 16(139)

Arthur Gretton et al. (2007) A Kernel Statistical Test of Independence, NIPS 21

Aaditya Ramdas et al. (2015) Nonparametric Independence Testing for Small Sample Sizes, IJCAI-15

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