Description Usage Arguments Value See Also

Compute the penalized log likelihood for GLM with MIC penalty via R function `glm`

1 2 | ```
LoglikPenGLM(gamma, group, X, y, lambda, a, family = gaussian(link =
"identity"))
``` |

`group` |
The group structure of the model. For example, assume that X has 4 columns and group=c(1,1,2,2). It means the first 2 features form a group of variables and the last 2 features form another group of variables. |

`X` |
An |

`y` |
The |

`lambda` |
The penalty parameter euqals either 2 in AIC or ln(n) in BIC (by default). It can be specified as any value of the user's own choice. |

`a` |
The scale parameter in the hyperbolic tangent function of the MIC penalty. By default, |

`family` |
a description of the error distribution and link function to be used in the model. It needs to be the result
of a call to a family function since |

`beta` |
A p-dimensional vector containing the regression ceofficients. |

The value of the penalized log likelihood function evaluated at beta.

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