Package edu.cmu.tetrad.search.work_in_progress

Class SemBicScoreDeterministic

java.lang.Object
edu.cmu.tetrad.search.work_in_progress.SemBicScoreDeterministic
All Implemented Interfaces:
Score
public class SemBicScoreDeterministic extends Object implements Score
Implements the continuous BIC score for FGES.
Version:
$Id: $Id
Author:
josephramsey

  • Constructor Details

    • SemBicScoreDeterministic

      public SemBicScoreDeterministic(ICovarianceMatrix covariances)
      Constructs the score using a covariance matrix.
      Parameters:
      covariances - a ICovarianceMatrix object

  • Method Details

    • localScore

      public double localScore(int i, int... parents)
      Calculates the sample likelihood and BIC score for i given its parents in a simple SEM model
      Specified by:
      localScore in interface Score
      Parameters:
      i - a int
      parents - a int
      Returns:
      a double

    • localScoreDiff

      public double localScoreDiff(int x, int y, int[] z)
      Returns the score difference of the graph.
      Specified by:
      localScoreDiff in interface Score
      Parameters:
      x - A node.
      y - TAhe node.
      z - A set of nodes.
      Returns:
      The score difference.

    • getPenaltyDiscount

      public double getPenaltyDiscount()
      Specialized scoring method for a single parent. Used to speed up the effect edges search.
      Returns:
      a double

    • setPenaltyDiscount

      public void setPenaltyDiscount(double penaltyDiscount)

      Setter for the field penaltyDiscount.

      Parameters:
      penaltyDiscount - a double

    • getCovariances

      public ICovarianceMatrix getCovariances()

      Getter for the field covariances.

      Returns:
      a ICovarianceMatrix object

    • getSampleSize

      public int getSampleSize()

      Getter for the field sampleSize.

      Specified by:
      getSampleSize in interface Score
      Returns:
      a int

    • isEffectEdge

      public boolean isEffectEdge(double bump)
      Returns true iff the edge between x and y is an effect edge.
      Specified by:
      isEffectEdge in interface Score
      Parameters:
      bump - The bump.
      Returns:
      True iff the edge between x and y is an effect edge.

    • getDataSet

      public DataSet getDataSet()

      getDataSet.

      Returns:
      a DataSet object

    • isVerbose

      public boolean isVerbose()

      isVerbose.

      Returns:
      a boolean

    • setVerbose

      public void setVerbose(boolean verbose)

      Setter for the field verbose.

      Parameters:
      verbose - a boolean

    • getVariables

      public List<Node> getVariables()
      The variables of the score.
      Specified by:
      getVariables in interface Score
      Returns:
      This list.

    • setVariables

      public void setVariables(List<Node> variables)

      Setter for the field variables.

      Parameters:
      variables - a List object

    • getMaxDegree

      public int getMaxDegree()
      Returns the max degree, by default 1000.
      Specified by:
      getMaxDegree in interface Score
      Returns:
      The max degree.

    • determines

      public boolean determines(List<Node> z, Node y)
      Returns true iff the score determines the edge between x and y.
      Specified by:
      determines in interface Score
      Parameters:
      z - The set of nodes.
      y - The node.
      Returns:
      True iff the score determines the edge between x and y.

    • getDeterminismThreshold

      public double getDeterminismThreshold()

      Getter for the field determinismThreshold.

      Returns:
      a double

    • setDeterminismThreshold

      public void setDeterminismThreshold(double determinismThreshold)

      Setter for the field determinismThreshold.

      Parameters:
      determinismThreshold - a double