Package edu.cmu.tetrad.search.test

Class IndTestConditionalCorrelation

java.lang.Object
edu.cmu.tetrad.search.test.IndTestConditionalCorrelation
All Implemented Interfaces:
IndependenceTest, RowsSettable
public final class IndTestConditionalCorrelation extends Object implements IndependenceTest, RowsSettable
Checks conditional independence of variable in a continuous data set using a conditional correlation test for the nonlinear nonGaussian with the additive error case. This is for additive (but otherwise general) models.
Version:
$Id: $Id
Author:
josephramsey

  • Constructor Details

    • IndTestConditionalCorrelation

      public IndTestConditionalCorrelation(DataSet dataSet, double alpha, double scalingFactor, int basisType, double basisScale, int numFunctions)
      Constructs a new IndTestConditionalCorrelation to check independence based on conditional correlations derived from the given continuous data set. The test uses the specified significance level and allows customization of basis settings and a scaling factor.
      Parameters:
      dataSet - The continuous data set for performing independence tests.
      alpha - The significance level for the test (must be between 0 and 1 inclusive).
      scalingFactor - The scaling factor applied in the independence test computations.
      basisType - The type of basis functions used in the computations.
      basisScale - The scale of the basis functions applied in computations.
      numFunctions - The number of orthogonal functions used for the calculations.
      Throws:
      IllegalArgumentException - if the data set is not continuous.
      IllegalArgumentException - if the significance level (alpha) is not in the range [0, 1].

  • Method Details

    • indTestSubset

      public IndependenceTest indTestSubset(List<Node> vars)
      Constructs a new Independence test which checks independence facts based on the correlation data implied by the given data set (must be continuous). The given significance level is used.
      Specified by:
      indTestSubset in interface IndependenceTest
      Parameters:
      vars - The sublist of variables.
      Returns:
      a IndependenceTest object

    • checkIndependence

      public IndependenceResult checkIndependence(Node x, Node y, Set<Node> z)
      Checks the independence of x _||_ y | z
      Specified by:
      checkIndependence in interface IndependenceTest
      Parameters:
      x - a Node object
      y - a Node object
      z - a Set object
      Returns:
      a IndependenceResult object
      See Also:

    • getAlpha

      public double getAlpha()
      Returns the model significance level.
      Specified by:
      getAlpha in interface IndependenceTest
      Returns:
      This level.

    • setAlpha

      public void setAlpha(double alpha)
      Sets the significance level for the test. The significance level (alpha) must be a value between 0 and 1, inclusive.
      Specified by:
      setAlpha in interface IndependenceTest
      Parameters:
      alpha - The new significance level to be set for the test. This value determines the threshold for statistical significance in the independence test computations.

    • getVariables

      public List<Node> getVariables()
      Returns the list of variables over which this independence checker is capable of determining independence relations-- that is, all the variables in the given graph or the given data set.
      Specified by:
      getVariables in interface IndependenceTest
      Returns:
      This list.

    • getData

      public DataSet getData()
      Returns the data set being analyzed.
      Specified by:
      getData in interface IndependenceTest
      Returns:
      This dataset.

    • toString

      public String toString()
      Returns a string representation of this test.
      Specified by:
      toString in interface IndependenceTest
      Overrides:
      toString in class Object
      Returns:
      This string.

    • isVerbose

      public boolean isVerbose()
      Returns true if verbose output should be printed.
      Specified by:
      isVerbose in interface IndependenceTest
      Returns:
      True if the case.

    • setVerbose

      public void setVerbose(boolean verbose)
      Sets whether verbose output should be printed.
      Specified by:
      setVerbose in interface IndependenceTest
      Parameters:
      verbose - True, if so.

    • getRows

      public List<Integer> getRows()
      Returns the number of orthogonal functions used to do the calculations. The sets used are the polynomial basis functions, x, x^2, x^3, etc. This choice is made to allow for more flexible domains of the functions after standardization.
      Specified by:
      getRows in interface RowsSettable
      Returns:
      This number.

    • setRows

      public void setRows(List<Integer> rows)
      Sets the rows to use for the test.
      Specified by:
      setRows in interface RowsSettable
      Parameters:
      rows - The rows.