Class TrueDagPrecisionTails

java.lang.Object
edu.cmu.tetrad.algcomparison.statistic.TrueDagPrecisionTails
All Implemented Interfaces:
Statistic, Serializable

public class TrueDagPrecisionTails extends Object implements Statistic
A class that implements the Statistic interface to calculate the proportion of X-->Y edges in the estimated graph for which there is a path X~~>Y in the true graph.
See Also:
  • Constructor Details

    • TrueDagPrecisionTails

      public TrueDagPrecisionTails()
      This class represents a statistic that calculates the precision for tails compared to the true DAG.
  • Method Details

    • getAbbreviation

      public String getAbbreviation()
      Returns the abbreviation for the statistic.
      Specified by:
      getAbbreviation in interface Statistic
      Returns:
      The abbreviation string.
    • getDescription

      public String getDescription()
      Returns a short one-line description of this statistic. This will be printed at the beginning of the report.
      Specified by:
      getDescription in interface Statistic
      Returns:
      The description of the statistic.
    • getValue

      public double getValue(Graph trueDag, Graph trueGraph, Graph estGraph, DataModel dataModel, Parameters parameters)
      Calculates the precision of directed edges in the estimated graph (estGraph) relative to a true directed acyclic graph (trueDag). The precision is measured as the proportion of edges X-->Y in the estimated graph for which there is a path X~~>Y in the true DAG.
      Specified by:
      getValue in interface Statistic
      Parameters:
      trueDag - The true directed acyclic graph (DAG) used as a reference for evaluation.
      trueGraph - The overall true graph which may contain additional information (not directly used in this method).
      estGraph - The estimated graph containing the edges to be evaluated.
      dataModel - The data model used (not directly used in the current calculation).
      parameters - Additional parameters for computation (not directly used in the current calculation).
      Returns:
      The precision value as a double, representing the proportion of correctly identified directed edges.
    • getNormValue

      public double getNormValue(double value)
      Calculates the normalized value of a statistic.
      Specified by:
      getNormValue in interface Statistic
      Parameters:
      value - The value of the statistic.
      Returns:
      The normalized value of the statistic.