Description Usage Arguments Value Author(s)

Outlier detection and robust regression with a ridge type penalty on the outlier indicator gamma. Allow non sparse outliers and require known noise standard deviation.

1 |

`X` |
an N by k design matrix |

`Y` |
an N by 1 response vector |

`H` |
an N by N projection matrix |

`sigma` |
a numeric, noise standard deviation |

`p` |
an N by 1 vector of p-values for each of the N genes |

`gamma` |
an N by 1 vector of estimated primary variable gamma |

Yunting Sun yunting.sun@gmail.com, Nancy R.Zhang nzhang@stanford.edu, Art B.Owen owen@stanford.edu

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.