Package edu.cmu.tetrad.algcomparison.score

Class SemBicScore

java.lang.Object
edu.cmu.tetrad.algcomparison.score.SemBicScore
All Implemented Interfaces:
ScoreWrapper, HasParameters, TetradSerializable, Serializable
@Score(name="Sem BIC Score", command="sem-bic-score", dataType={Continuous,Covariance}) @LinearGaussian public class SemBicScore extends Object implements ScoreWrapper
Wrapper for linear, Gaussian SEM BIC score.
Version:
$Id: $Id
Author:
josephramsey
See Also:

  • Constructor Details

    • SemBicScore

      public SemBicScore()
      Constructs a new instance of the SemBicScore.

  • Method Details

    • getScore

      public Score getScore(DataModel dataSet, Parameters parameters)
      Returns true iff x and y are independent conditional on z for the given data set.
      Specified by:
      getScore in interface ScoreWrapper
      Parameters:
      dataSet - The data set to test independence against.
      parameters - The paramters of the test.
      Returns:
      True iff independence holds.

    • getDescription

      public String getDescription()
      Returns the description of the Sem BIC Score.
      Specified by:
      getDescription in interface ScoreWrapper
      Returns:
      the description of the Sem BIC Score

    • getDataType

      public DataType getDataType()
      Returns the data type of the current score.
      Specified by:
      getDataType in interface ScoreWrapper
      Returns:
      the data type of the score

    • getParameters

      public List<String> getParameters()
      Returns a list of parameters applicable to this method.
      Specified by:
      getParameters in interface HasParameters
      Specified by:
      getParameters in interface ScoreWrapper
      Returns:
      a list of parameters

    • getVariable

      public Node getVariable(String name)
      Retrieves the variable with the given name from the data set.
      Specified by:
      getVariable in interface ScoreWrapper
      Parameters:
      name - the name of the variable
      Returns:
      the variable with the given name, or null if no such variable exists