Description Usage Arguments Details Value Examples

Estimate the in.degree distribution and conditional probability distribution from data

1 | ```
estimateNetworkDistribution(obj, use.class=FALSE)
``` |

`obj` |
and object of class DDDataSet |

`use.class` |
if to include the class variable into the estimate |

The algorithm uses hill-climbing with BIC to construct the network and estimate the parameters. Then, provided that for each in-degree there is at least two nodes, it estimates the beta distribution parameters.

a list of two elements: in.degree.distr - distribution of in-degrees, and beta.est - estimate beta distribution values

1 2 |

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