Package edu.cmu.tetrad.search.work_in_progress

Class MnlrLikelihood

java.lang.Object

edu.cmu.tetrad.search.work_in_progress.MnlrLikelihood

public class MnlrLikelihood
extends Object

Calculates Mixed Variables Polynomial likelihood.

As for all scores in Tetrad, higher scores mean more dependence, and negative scores indicate independence.

Author:

Bryan Andrews

Constructor Summary

Constructors

Constructor	Description
MnlrLikelihood(DataSet dataSet, double structurePrior, int fDegree)	Constructor.

Method Summary

Modifier and Type	Method	Description
double	getDoF(int child_index, int[] parents)	Returns the degrees of freedom of a child given its parents.
double	getEBICprior()
double	getLik(int child_index, int[] parents)	Returns the likelihood of a child given its parents.
double	getStructurePrior(int k)	Returns the structur prior for k parents.

Methods inherited from class java.lang.Object

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

Constructor Details

MnlrLikelihood

public MnlrLikelihood(DataSet dataSet,
 double structurePrior,
 int fDegree)

Constructor.

Parameters:

dataSet - The dataset to analyze.

structurePrior - The structure prior.

fDegree - The f degree.

Method Details

getLik

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

Returns the likelihood of a child given its parents.

Parameters:

child_index - The index the child.

parents - The indices of the parents.

Returns:

The likelihood.

getDoF

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

Returns the degrees of freedom of a child given its parents.

Parameters:

child_index - The index of the child.

parents - The indices of the parents.

Returns:

The degrees of freedom.

getStructurePrior

public double getStructurePrior(int k)

Returns the structur prior for k parents.

getEBICprior

public double getEBICprior()