Class FciMax

java.lang.Object
edu.cmu.tetrad.algcomparison.algorithm.AbstractBootstrapAlgorithm
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag.FciMax
All Implemented Interfaces:
Algorithm, LatentStructureAlgorithm, ReturnsBootstrapGraphs, TakesCovarianceMatrix, AcceptsKnowledge, HasParameters, TakesIndependenceWrapper, TetradSerializable, Serializable
@Algorithm(name="FCI-Max", command="fci-max", algoType=allow_latent_common_causes, dataType=All) @Bootstrapping public class FciMax extends AbstractBootstrapAlgorithm implements Algorithm, AcceptsKnowledge, TakesIndependenceWrapper, ReturnsBootstrapGraphs, TakesCovarianceMatrix, LatentStructureAlgorithm
FCI-Max. This is FCI with the first collider orientation rule (R0) replaced by the PC-Max orientation: for each unshielded triple X *-* Z *-* Y with X and Y nonadjacent, the sepset S maximizing the p-value of the fact X _||_ Y | S is selected, and Z is oriented as a collider just in case Z is not in that S.

This is a thin wrapper over Fci with the R0 collider rule pinned to ColliderRule.MAX_P; the collider orientation style is therefore deliberately not offered as a parameter here. The equivalent search can also be had from the FCI box by setting the collider orientation style to Max-P. This class is retained under its own name because FCI-Max is a published algorithm, and because sessions saved by Tetrad 7.6.10 and earlier refer to it by this class name.

Version:
$Id: $Id
Author:
josephramsey
See Also:

  • Constructor Details

  • Method Details

    • getComparisonGraph

      public Graph getComparisonGraph(Graph graph)
      Returns the comparison graph based on the true directed graph, if there is one.
      Specified by:
      getComparisonGraph in interface Algorithm
      Parameters:
      graph - The true directed graph, if there is one.
      Returns:
      The comparison graph.

    • getDescription

      public String getDescription()
      Returns a short, one-line description of this algorithm.
      Specified by:
      getDescription in interface Algorithm
      Returns:
      The description of the algorithm.

    • getDataType

      public DataType getDataType()
      Returns the data type that the search requires, whether continuous, discrete, or mixed.
      Specified by:
      getDataType in interface Algorithm
      Returns:
      The data type required by the search algorithm.

    • getParameters

      public List<String> getParameters()
      Retrieves the list of parameters used by this algorithm.
      Specified by:
      getParameters in interface HasParameters
      Returns:
      The list of parameters used by this algorithm.

    • getKnowledge

      public Knowledge getKnowledge()
      Retrieves the knowledge object.
      Specified by:
      getKnowledge in interface AcceptsKnowledge
      Returns:
      The knowledge object.

    • setKnowledge

      public void setKnowledge(Knowledge knowledge)
      Sets the knowledge object for this method.
      Specified by:
      setKnowledge in interface AcceptsKnowledge
      Parameters:
      knowledge - The knowledge object to set.

    • getIndependenceWrapper

      public IndependenceWrapper getIndependenceWrapper()
      Retrieves the IndependenceWrapper object associated with this method.
      Specified by:
      getIndependenceWrapper in interface TakesIndependenceWrapper
      Returns:
      The IndependenceWrapper object associated with this method.

    • setIndependenceWrapper

      public void setIndependenceWrapper(IndependenceWrapper test)
      Sets the IndependenceWrapper object associated with this method.
      Specified by:
      setIndependenceWrapper in interface TakesIndependenceWrapper
      Parameters:
      test - the independence wrapper to set