conditional_entropy_query: Query a Bayesian Network to calculate conditional entropy of...

In robertness/bninfo: Queries and information theoritic operations on Bayesian networks.

Description

Calculates the conditional entropy of a node given other nodes in a Bayesian network. Only works for discrete valued distributions fitted on data where variables are non-ordered factors class ("bn.fit.dnet"). Uses gRain package to convert to query the Bayesian network.

Usage

conditional_entropy_query(node, conditioning_nodes, bn_model, base = exp(1))

Arguments

node	name of the node of interest
bn_model	a fitted Bayesian network, an object of the class bn.fit
base	the base used in entropy's logarithm calculation. By setting base equal to the number of levels of the node variable, maximum entropy will be 1. Set to 2 for entropy units in bits.
vector	of node names to condition on.

robertness/bninfo documentation built on May 27, 2019, 10:32 a.m.