Package edu.cmu.tetrad.search.score

Class MvpLikelihood

java.lang.Object

edu.cmu.tetrad.search.score.MvpLikelihood

public class MvpLikelihood
extends Object

Calculates Mixed Variables Polynomial likelihood. The reference is here:

Andrews, B., Ramsey, J., & Cooper, G. F. (2018). Scoring Bayesian networks of mixed variables. International journal of data science and analytics, 6, 3-18.

Author:

Bryan Andrews

Constructor Summary

Constructors

Constructor	Description
MvpLikelihood(DataSet dataSet, double structurePrior, int fDegree, boolean discretize)

Method Summary

Modifier and Type	Method	Description
double	getDoF(int child_index, int[] parents)
double	getEBICprior()
double	getLik(int child_index, int[] parents)
double	getStructurePrior(int k)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

MvpLikelihood

public MvpLikelihood(DataSet dataSet,
 double structurePrior,
 int fDegree,
 boolean discretize)

Method Details

getLik

public double getLik(int child_index,
 int[] parents)

getDoF

public double getDoF(int child_index,
 int[] parents)

getStructurePrior

public double getStructurePrior(int k)

getEBICprior

public double getEBICprior()