Description Usage Arguments Value Author(s) References See Also Examples

Generic function for computing standard errors of non-zero regularized estimators

1 |

`x` |
a fitted model object. |

`which` |
which penalty parameter(s)? |

`log` |
if TRUE, the computed standard error is for log(theta) for negative binomial regression, otherwise, for theta. |

`...` |
arguments passed to methods. |

A vector containing standard errors of non-zero regularized estimators.

Zhu Wang <[email protected]>

Zhu Wang, Shuangge Ma and Ching-Yun Wang (2015) *Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany*, *Biometrical Journal*. 57(5):867-84.

1 2 3 |

mpath documentation built on Nov. 17, 2017, 8:01 a.m.

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.