Package edu.cmu.tetrad.util.dist

Class TruncatedNormal

java.lang.Object
edu.cmu.tetrad.util.dist.TruncatedNormal
All Implemented Interfaces:
Distribution, TetradSerializable, Serializable
public class TruncatedNormal extends Object implements Distribution
A normal distribution that allows its parameters to be set and allows random sampling. The parameters are 0 = mean, 1 = standard deviation.
Version:
$Id: $Id
Author:
josephramsey
See Also:

  • Method Details

    • serializableInstance

      public static TruncatedNormal serializableInstance()
      Generates a simple exemplar of this class to test serialization.
      Returns:
      The exemplar.

    • getName

      public String getName()

      getName.

      Specified by:
      getName in interface Distribution
      Returns:
      a String object

    • setParameter

      public void setParameter(int index, double value)
      Sets the index'th parameter to the given value.
      Specified by:
      setParameter in interface Distribution
      Parameters:
      index - Ibid. Must be >= 0 and < # parameters.
      value - Ibid.

    • getParameter

      public double getParameter(int index)
      Returns the index'th parameter.
      Specified by:
      getParameter in interface Distribution
      Parameters:
      index - Ibid. Muist be <= 0 and < # parameters.
      Returns:
      The Ibid.

    • getParameterName

      public String getParameterName(int index)
      The name of the index'th parameter, for display purposes.
      Specified by:
      getParameterName in interface Distribution
      Parameters:
      index - Ibid. Must be >= 0 and < # parameters.
      Returns:
      Ibid.

    • getNumParameters

      public int getNumParameters()

      getNumParameters.

      Specified by:
      getNumParameters in interface Distribution
      Returns:
      the number of parameters = 2.

    • nextRandom

      public double nextRandom()

      nextRandom.

      Specified by:
      nextRandom in interface Distribution
      Returns:
      the next random sample from the distribution.

    • toString

      public String toString()

      toString.

      Overrides:
      toString in class Object
      Returns:
      a String object