Class MAPPar

java.lang.Object
random.AbstractParameter
random.MAPPar
All Implemented Interfaces:
AutoCheck, Parameter
public class MAPPar extends AbstractParameter implements Parameter
This is the parameter that should be passed to the MAP distribution.

Copyright (c) 2017
Imperial College London - Department of Computing
Author:
Lulai Zhu

  • Constructor Summary

    Constructors
    Constructor
    Description
    MAPPar(Object[] D0, Object[] D1)
    It creates a new MAP parameter based on the data provided by the user.

  • Method Summary

    Modifier and Type
    Method
    Description
    double[]
    getLambda()
    It returns the value of the parameter lambda, the completion rate vector of the MAP distribution.
    double
    getMean()
    It returns the value of the mean of the MAP distribution which is provided by the user or evaluated according to other data.
    double[][]
    getP0()
    It returns the value of the parameter P0, the hidden transition probability matrix of the MAP distribution.
    double[][]
    getP1()
    It returns the value of the parameter P1, the observable transition probability matrix of the MAP distribution.
    double[]
    getPi()
    It returns the value of the parameter pi, the stationary probability vector of the MAP distribution.
    double
    getVar()
    It returns the value of the variance of the MAP distribution which is provided by the user or evaluated according to other data.

    Methods inherited from class AbstractParameter

    check, setMean

    Methods inherited from class Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    Methods inherited from interface Parameter

    check, setMean

  • Constructor Details

    • MAPPar

      public MAPPar(Object[] D0, Object[] D1) throws IncorrectDistributionParameterException
      It creates a new MAP parameter based on the data provided by the user.
      Parameters:
      D0 - 2D array of Object containing the hidden transition rate matrix.
      D1 - 2D array of Object containing the observable transition rate matrix.
      Throws:
      IncorrectDistributionParameterException - if D0 or D1 is incorrect or if D0 and D1 are inconsistent or if D0 + D1 is incorrect.

  • Method Details

    • getMean

      public double getMean()
      It returns the value of the mean of the MAP distribution which is provided by the user or evaluated according to other data.
      Returns:
      double with the mean of the phase-type distribution.

    • getVar

      public double getVar()
      It returns the value of the variance of the MAP distribution which is provided by the user or evaluated according to other data.
      Returns:
      double with the variance of the phase-type distribution.

    • getPi

      public double[] getPi()
      It returns the value of the parameter pi, the stationary probability vector of the MAP distribution.
      Returns:
      array of double with pi the stationary probability vector of the MAP distribution.

    • getLambda

      public double[] getLambda()
      It returns the value of the parameter lambda, the completion rate vector of the MAP distribution.
      Returns:
      array of double with lambda the completion rate vector of the MAP distribution.

    • getP0

      public double[][] getP0()
      It returns the value of the parameter P0, the hidden transition probability matrix of the MAP distribution.
      Returns:
      2D array of double with P0 the hidden transition probability matrix of the phase-type distribution.

    • getP1

      public double[][] getP1()
      It returns the value of the parameter P1, the observable transition probability matrix of the MAP distribution.
      Returns:
      2D array of double with P1 the observable transition probability matrix of the MAP distribution.