estimateNetworkDistribution: Estimate network distribution parameters

Description Usage Arguments Details Value Examples

View source: R/randomnet.R

Description

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

Usage

1

Arguments

obj

and object of class DDDataSet

use.class

if to include the class variable into the estimate

Details

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.

Value

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

Examples

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ddgraph documentation built on May 31, 2017, 11:51 a.m.