Package edu.cmu.tetrad.search

Class FgesFci

java.lang.Object

edu.cmu.tetrad.search.StarFci

edu.cmu.tetrad.search.FgesFci

All Implemented Interfaces:

IGraphSearch

public final class FgesFci
extends StarFci

Uses FGES for the initial step of *-FCI. This is an adjustment to the original GFCI algorithm here:

Ogarrio, J. M., Spirtes, P., & Ramsey, J. (2016, August). A hybrid causal search algorithm for latent variable models. In Conference on probabilistic graphical models (pp. 368-379). PMLR.

See *-FCI for the modifications used. *-FCI requires a test; FGES requires a score, so both are needed.

This class is configured to respect knowledge of forbidden and required edges, including knowledge of temporal tiers.

Version:

$Id: $Id

Author:

Juan Miguel Ogarrio, peterspirtes, josephramsey

See Also:

• StarFci
• Fges
• Knowledge

Constructor Summary

Constructors

Constructor	Description
FgesFci(IndependenceTest test, Score score)	Constructs a new GFci algorithm with the given independence test and score.

Method Summary

Modifier and Type	Method	Description
Graph	getMarkovCpdag()	Returns a Markov CPDAG to use as the initial graph in the Star-FCI search.
void	setFaithfulnessAssumed(boolean faithfulnessAssumed)	Sets whether one-edge faithfulness is assumed.
void	setMaxDegree(int maxDegree)	Sets the maximum indegree of the output graph.
void	setNumThreads(int numThreads)	Sets the number of threads to use in the search.
void	setOut(PrintStream out)	Sets the print stream used for output, default System.out.

Methods inherited from class edu.cmu.tetrad.search.StarFci

getIndependenceTest, getKnowledge, isVerbose, search, sepsetSubsetOfAdjxOrAdjy, setCompleteRuleSetUsed, setDepth, setGuaranteePag, setKnowledge, setMaxDiscriminatingPathLength, setReplicatingGraph, setUseMaxP, setVerbose

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.cmu.tetrad.search.IGraphSearch

getTest, setTest

Constructor Details

FgesFci

public FgesFci(IndependenceTest test,
 Score score)

Constructs a new GFci algorithm with the given independence test and score.

Parameters:

test - The independence test to use.

score - The score to use.

Method Details

getMarkovCpdag

public Graph getMarkovCpdag()
                     throws InterruptedException

Description copied from class: StarFci

Returns a Markov CPDAG to use as the initial graph in the Star-FCI search.

Specified by:

getMarkovCpdag in class StarFci

Returns:

This CPDAG.

Throws:

InterruptedException - if interrupted.

setMaxDegree

public void setMaxDegree(int maxDegree)

Sets the maximum indegree of the output graph.

Parameters:

maxDegree - This maximum.

setOut

public void setOut(PrintStream out)

Sets the print stream used for output, default System.out.

Parameters:

out - This print stream.

setFaithfulnessAssumed

public void setFaithfulnessAssumed(boolean faithfulnessAssumed)

Sets whether one-edge faithfulness is assumed. For FGES

Parameters:

faithfulnessAssumed - True, if so.

See Also:

• Fges.setFaithfulnessAssumed(boolean)

setNumThreads

public void setNumThreads(int numThreads)

Sets the number of threads to use in the search.

Parameters:

numThreads - The number of threads to use. Must be at least 1.