Package edu.cmu.tetrad.search

Class GraphScore

java.lang.Object
edu.cmu.tetrad.search.GraphScore
All Implemented Interfaces:
Score
public class GraphScore extends Object implements Score
Implements Chickering and Meek's (2002) locally consistent score criterion.
Author:
Joseph Ramsey

  • Constructor Details

    • GraphScore

      public GraphScore(Graph dag)
      Constructs the score using a covariance matrix.

    • GraphScore

      public GraphScore(IndependenceFacts facts)

  • Method Details

    • localScore

      public double localScore(int y, int[] z)
      Calculates the sample likelihood and BIC score for y given its z in a simple SEM model
      Specified by:
      localScore in interface Score
      Parameters:
      y - The index of the node.
      z - The indices of the node's parents.
      Returns:
      The score, or NaN if the score cannot be calculated.

    • localScoreDiff

      public double localScoreDiff(int x, int y, int[] z)
      Specified by:
      localScoreDiff in interface Score

    • localScoreDiff

      public double localScoreDiff(int x, int y)
      Specified by:
      localScoreDiff in interface Score

    • localScore

      public double localScore(int i, int parent)
      Specialized scoring method for a single parent. Used to speed up the effect edges search.
      Specified by:
      localScore in interface Score

    • localScore

      public double localScore(int i)
      Specialized scoring method for no parents. Used to speed up the effect edges search.
      Specified by:
      localScore in interface Score

    • isEffectEdge

      public boolean isEffectEdge(double bump)
      Specified by:
      isEffectEdge in interface Score

    • getDataSet

      public DataSet getDataSet()

    • isVerbose

      public boolean isVerbose()

    • setVerbose

      public void setVerbose(boolean verbose)

    • getVariables

      public List<Node> getVariables()
      Specified by:
      getVariables in interface Score

    • getMaxDegree

      public int getMaxDegree()
      Specified by:
      getMaxDegree in interface Score

    • determines

      public boolean determines(List<Node> z, Node y)
      Specified by:
      determines in interface Score

    • getData

      public DataModel getData()

    • getSampleSize

      public int getSampleSize()
      Specified by:
      getSampleSize in interface Score

    • getAlternativePenalty

      public boolean getAlternativePenalty()

    • getDag

      public Graph getDag()

    • isDSeparatedFrom

      public boolean isDSeparatedFrom(Node x, Node y, List<Node> z)

    • isDConnectedTo

      public boolean isDConnectedTo(Node x, Node y, List<Node> z)

    • setPrefix

      public void setPrefix(List<Node> prefix)

    • setN

      public void setN(Node n)