Description Usage Arguments Value

Computes several likelihood-based score for a given Tweedie Bayesian Network: the log-likelihood, the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC).

1 | ```
scores.tbn(beta, phi, p, X)
``` |

`beta` |
a matrix of the Tweedie Bayesian network coefficients. |

`phi` |
a vector of dispersion parameters. |

`p` |
a vector of power parameters. |

`X` |
a data frame containing the variables in the model. |

This function returns a named list consisting of the Tweedie Bayesian network scores: Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) and the log-likelihood (ll).

km20/tbn documentation built on Dec. 20, 2018, 9:18 p.m.

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