Description Usage Arguments Value Author(s) References

Provides the interface to the functions in the bnlearn package for network diagnostics of an object of class `bayesvl`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
# Interface to bn.fit function to fit the parameters of
# a Bayesian network conditional on its structure.
bvl_bnBayes(dag, data = NULL, method = "bayes", iss = 10, ...)
# Interface to bnlearn score function to compute the score of the Bayesian network.
bvl_bnScore(dag, data = NULL, ...)
# Interface to arc.strength function to measure the strength of the probabilistic
# relationships expressed by the arcs of a Bayesian network.
bvl_bnStrength(dag, data = NULL, criterion = "x2", ...)
# Interface to bn.fit.barchart function to plot fit
# the parameters of a Bayesian network conditional on its structure.
bvl_bnBarchart(dag, data = NULL, method = "bayes", iss = 10, ...)
``` |

`dag` |
an object of class |

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

`method` |
a character string, either mle for Maximum Likelihood parameter estimation or bayes for Bayesian parameter estimation (currently implemented only for discrete data). |

`iss` |
a numeric value, the imaginary sample size used by the bayes method to estimate the conditional probability tables associated with discrete nodes |

`criterion` |
a character string, the method using for measuring |

`...` |
extra arguments from the generic method |

`bvl_bnScore()`

return a number, value of score.

La Viet-Phuong, Vuong Quan-Hoang

For documentation, case studies and worked examples, and other tutorial information visit the References section on our Github:

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