estimateNetworkDistribution: Estimate network distribution parameters

In ddgraph: Distinguish direct and indirect interactions with Graphical Modelling

Description

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

Usage

estimateNetworkDistribution(obj, use.class=FALSE)

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

data(mesoBin)
estimateNetworkDistribution(mesoBin$Meso)

ddgraph documentation built on Nov. 17, 2017, 10:50 a.m.