Package edu.cmu.tetrad.search

Class GFci

java.lang.Object
edu.cmu.tetrad.search.GFci
All Implemented Interfaces:
GraphSearch
public final class GFci extends Object implements GraphSearch
J.M. Ogarrio and P. Spirtes and J. Ramsey, "A Hybrid Causal Search Algorithm for Latent Variable Models," JMLR 2016.
Author:
Juan Miguel Ogarrio, ps7z, jdramsey

  • Constructor Details

  • Method Details

    • search

      public Graph search()
      Specified by:
      search in interface GraphSearch

    • setMaxDegree

      public void setMaxDegree(int maxDegree)
      Parameters:
      maxDegree - The maximum indegree of the output graph.

    • getMaxDegree

      public int getMaxDegree()
      Returns The maximum indegree of the output graph.

    • modifiedR0

      public void modifiedR0(Graph fgesGraph, SepsetProducer sepsets)

    • getKnowledge

      public Knowledge getKnowledge()

    • setKnowledge

      public void setKnowledge(Knowledge knowledge)

    • isCompleteRuleSetUsed

      public boolean isCompleteRuleSetUsed()
      Returns:
      true if Zhang's complete rule set should be used, false if only R1-R4 (the rule set of the original FCI) should be used. False by default.

    • setCompleteRuleSetUsed

      public void setCompleteRuleSetUsed(boolean completeRuleSetUsed)
      Parameters:
      completeRuleSetUsed - set to true if Zhang's complete rule set should be used, false if only R1-R4 (the rule set of the original FCI) should be used. False by default.

    • getMaxPathLength

      public int getMaxPathLength()
      Returns:
      the maximum length of any discriminating path, or -1 of unlimited.

    • setMaxPathLength

      public void setMaxPathLength(int maxPathLength)
      Parameters:
      maxPathLength - the maximum length of any discriminating path, or -1 if unlimited.

    • isVerbose

      public boolean isVerbose()
      True iff verbose output should be printed.

    • setVerbose

      public void setVerbose(boolean verbose)

    • getIndependenceTest

      public IndependenceTest getIndependenceTest()
      The independence test.

    • getCovMatrix

      public ICovarianceMatrix getCovMatrix()

    • getCovarianceMatrix

      public ICovarianceMatrix getCovarianceMatrix()

    • setCovarianceMatrix

      public void setCovarianceMatrix(ICovarianceMatrix covarianceMatrix)

    • getOut

      public PrintStream getOut()

    • setOut

      public void setOut(PrintStream out)

    • setIndependenceTest

      public void setIndependenceTest(IndependenceTest independenceTest)

    • setFaithfulnessAssumed

      public void setFaithfulnessAssumed(boolean faithfulnessAssumed)

    • setDoDiscriminatingPathRule

      public void setDoDiscriminatingPathRule(boolean doDiscriminatingPathRule)

    • setPossibleDsepSearchDone

      public void setPossibleDsepSearchDone(boolean possibleDsepSearchDone)

    • setDepth

      public void setDepth(int depth)