Estimate the in.degree distribution and conditional probability distribution from data
and object of class DDDataSet
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
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