Package edu.cmu.tetrad.search.work_in_progress

Class Dci

java.lang.Object
edu.cmu.tetrad.search.work_in_progress.Dci
public class Dci extends Object
Implements the DCI (Distributed Causal Inference) algorithm for learning causal structure over a set of variable from multiple datasets that each may only measure proper overlapping subsets of that sets, or datasets with some variables in common and others not. The algorithm currently takes as input a set of PAGs (presumably learned using a local learning algorithm such as FCI) and returns a complete set of PAGs over every variable included a dataset that are consistent with all the PAGs (same d-separations and d-connections)
Version:
$Id: $Id
Author:
Robert Tillman

  • Constructor Details

  • Method Details

    • getDepth

      public int getDepth()

      Getter for the field depth.

      Returns:
      a int

    • setDepth

      public void setDepth(int depth)

      Setter for the field depth.

      Parameters:
      depth - a int

    • getElapsedTime

      public long getElapsedTime()

      Getter for the field elapsedTime.

      Returns:
      a long

    • getSepset

      public List<SepsetMapDci> getSepset()
      Gets the resulting sepsets
      Returns:
      a List object

    • search

      public List<Graph> search() throws InterruptedException
      Begins the DCI search procedure, described at each step
      Returns:
      a List object
      Throws:
      InterruptedException - if any.

    • isSubtrek

      public boolean isSubtrek(List<Node> trek, List<Node> subtrek)
      Determines whether one trek is a subtrek of another trek
      Parameters:
      trek - a List object
      subtrek - a List object
      Returns:
      a boolean