Package edu.cmu.tetrad.algcomparison.algorithm.oracle.pag

Class DmPc

java.lang.Object
edu.cmu.tetrad.algcomparison.algorithm.AbstractBootstrapAlgorithm
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag.DmPc
All Implemented Interfaces:
Algorithm, ReturnsBootstrapGraphs, TakesCovarianceMatrix, HasKnowledge, HasParameters, TakesIndependenceWrapper, TetradSerializable, Serializable
@Algorithm(name="DM-PC", command="dm-pc", algoType=allow_latent_common_causes) @Bootstrapping public class DmPc extends AbstractBootstrapAlgorithm implements Algorithm, TakesIndependenceWrapper, HasKnowledge, ReturnsBootstrapGraphs, TakesCovarianceMatrix
Detect-Mimic-PC (DM-PC) algorithm. This is intended to detect intermediate latent variables for Multiple Input Multiple IndiCator (MIMIC) models. models.
Version:
$Id: $Id
Author:
josephramsey
See Also:

  • Constructor Details

  • Method Details

    • runSearch

      public Graph runSearch(DataModel dataModel, Parameters parameters) throws InterruptedException
      Runs a search algorithm to find a graph structure based on a given data set and parameters.
      Parameters:
      dataModel - the data set to be used for the search algorithm
      parameters - the parameters for the search algorithm
      Returns:
      the graph structure found by the search algorithm
      Throws:
      InterruptedException

    • getComparisonGraph

      public Graph getComparisonGraph(Graph graph)
      Retrieves a comparison graph by transforming a true directed graph into a partially directed graph (PAG).
      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. The description is generated by concatenating the descriptions of the test and score objects associated with this algorithm.
      Specified by:
      getDescription in interface Algorithm
      Returns:
      The description of this algorithm.

    • getDataType

      public DataType getDataType()
      Retrieves the data type required by the search algorithm.
      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 the algorithm.
      Specified by:
      getParameters in interface HasParameters
      Returns:
      The list of parameters used by the algorithm.

    • getKnowledge

      public Knowledge getKnowledge()
      Retrieves the knowledge object associated with this method.
      Specified by:
      getKnowledge in interface HasKnowledge
      Returns:
      The knowledge object.

    • setKnowledge

      public void setKnowledge(Knowledge knowledge)
      Sets the knowledge object associated with this method.
      Specified by:
      setKnowledge in interface HasKnowledge
      Parameters:
      knowledge - the knowledge object to be set

    • getIndependenceWrapper

      public IndependenceWrapper getIndependenceWrapper()
      Retrieves the IndependenceWrapper object associated with this method. The IndependenceWrapper object contains an IndependenceTest that checks the independence of two variables conditional on a set of variables using a given dataset and parameters .
      Specified by:
      getIndependenceWrapper in interface TakesIndependenceWrapper
      Returns:
      The IndependenceWrapper object associated with this method.

    • setIndependenceWrapper

      public void setIndependenceWrapper(IndependenceWrapper test)
      Sets the independence wrapper.
      Specified by:
      setIndependenceWrapper in interface TakesIndependenceWrapper
      Parameters:
      test - the independence wrapper.