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

Class LvLite

java.lang.Object
edu.cmu.tetrad.algcomparison.algorithm.AbstractBootstrapAlgorithm
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag.LvLite
All Implemented Interfaces:
Algorithm, ReturnsBootstrapGraphs, TakesCovarianceMatrix, HasKnowledge, HasParameters, UsesScoreWrapper, TetradSerializable, Serializable
@Algorithm(name="LV-Lite", command="lv-lite", algoType=allow_latent_common_causes) @Bootstrapping @Experimental public class LvLite extends AbstractBootstrapAlgorithm implements Algorithm, UsesScoreWrapper, HasKnowledge, ReturnsBootstrapGraphs, TakesCovarianceMatrix
This class represents the LV-Lite algorithm, which is an implementation of the LV algorithm for learning causal structures from observational data. It uses a combination of independence tests and scores to search for the best graph structure given a data set and parameters.
Author:
josephramsey
See Also:

  • Constructor Details

    • LvLite

      public LvLite()
      This class represents a LvLite algorithm.

      The LvLite algorithm is a bootstrap algorithm that runs a search algorithm to find a graph structure based on a given data set and parameters. It is a subclass of the Abstract BootstrapAlgorithm class and implements the Algorithm interface.

      See Also:

    • LvLite

      public LvLite(ScoreWrapper score)
      LvLite is a class that represents a LvLite algorithm.

      The LvLite algorithm is a bootstrap algorithm that runs a search algorithm to find a graph structure based on a given data set and parameters. It is a subclass of the AbstractBootstrapAlgorithm class and implements the Algorithm interface.

      Parameters:
      score - The score to use.
      See Also:

  • Method Details

    • runSearch

      public Graph runSearch(DataModel dataModel, Parameters parameters)
      Runs the search algorithm to find a graph structure based on a given data model and parameters.
      Parameters:
      dataModel - The data model to use for the search algorithm.
      parameters - The parameters to configure the search algorithm.
      Returns:
      The resulting graph structure.
      Throws:
      IllegalArgumentException - if the time lag is greater than 0 and the data model is not an instance of DataSet.

    • 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

    • getScoreWrapper

      public ScoreWrapper getScoreWrapper()
      Retrieves the ScoreWrapper object associated with this method.
      Specified by:
      getScoreWrapper in interface UsesScoreWrapper
      Returns:
      The ScoreWrapper object associated with this method.

    • setScoreWrapper

      public void setScoreWrapper(ScoreWrapper score)
      Sets the score wrapper for the algorithm.
      Specified by:
      setScoreWrapper in interface UsesScoreWrapper
      Parameters:
      score - the score wrapper.