NetworkProbExp {EDISON}R Documentation

Calculates the prior probability of the network using the exponential prior.

Description

This function calculates the log prior probability of the network structure. It uses the exponential information sharing prior.

Usage

NetworkProbExp(network.info)

Arguments

network.info

Network information collected using the function CollectNetworkInfo

Value

Returns the log prior probability of the network segments.

Author(s)

Frank Dondelinger

References

For information about the exponential information sharing prior, see:

Husmeier et al. (2010), "Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks", NIPS.

Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure", Machine Learning.

See Also

NetworkRatioExp, CalculatePriorRatio


[Package EDISON version 1.1.1 Index]