likelihood_unfolding: Get log likelihood of a particular unfolded graph

In neilbramley/acl_source: Functions for active causal learning

Description

This function unfolds a cyclic causal graph probabilitically for a set number of time steps

Usage

likelihood_unfolding(X, graph, pow = 0.75, sar = 0)

Arguments

X	The unfolding
graph	the graph for which to compute the likelihood of this unfolding
pow	How likely are the causal connections to cause their effects, defaults to .75
sar	How likely are the components to turn on on their own, defaults to 0.

Examples

likelihood_unfolding(generate_unfolding(matrix(c(1,1,0,0), 2, 2, byrow=T), c(1,0)), matrix(c(1,1,0,0), 2, 2, byrow=T))

neilbramley/acl_source documentation built on May 29, 2019, 6:53 p.m.