Package org.processmining.plugins.stochasticpetrinet.distribution

Class RLogSplineDistribution

java.lang.Object

org.apache.commons.math3.distribution.AbstractRealDistribution

org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

All Implemented Interfaces:

java.io.Serializable, org.apache.commons.math3.distribution.RealDistribution

Direct Known Subclasses:

RCensoredLogSplineDistribution

public class RLogSplineDistribution
extends org.apache.commons.math3.distribution.AbstractRealDistribution

Logspline density fitting to data using the logspline package in R.

Author:

Andreas Rogge-Solti

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected org.rosuda.JRI.Rengine	engine	reference to the R engine
protected java.lang.String	method	The logspline method is used of the logspline package of R
protected double	numericalMean
protected java.lang.String	rName	name of the spline in R
protected double	upperBound
protected double[]	values

Fields inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution

random, randomData, SOLVER_DEFAULT_ABSOLUTE_ACCURACY

Constructor Summary

Constructors

Constructor	Description
RLogSplineDistribution()
RLogSplineDistribution(double maxValue)
RLogSplineDistribution(double maxValue, java.lang.String name)
RLogSplineDistribution(java.lang.String name)

Method Summary

Modifier and Type	Method	Description
void	addValues(double... values)
double	cumulativeProbability(double x)
double	density(double x)
double	getNumericalMean()	Calculates the numerical mean under the plot function of the log-spline fit.
double	getNumericalVariance()
double	getSupportLowerBound()
double	getSupportUpperBound()
java.lang.String	getValsString()
boolean	isSupportConnected()
boolean	isSupportLowerBoundInclusive()
boolean	isSupportUpperBoundInclusive()
double	probability(double x)
double	sample()
double[]	sample(int sampleSize)

Methods inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution

cumulativeProbability, getSolverAbsoluteAccuracy, inverseCumulativeProbability, logDensity, probability, reseedRandomGenerator

Methods inherited from class java.lang.Object

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

Field Detail

upperBound

protected double upperBound

rName

protected java.lang.String rName

name of the spline in R

engine

protected org.rosuda.JRI.Rengine engine

reference to the R engine

method

protected java.lang.String method

The logspline method is used of the logspline package of R

numericalMean

protected double numericalMean

values

protected double[] values

Constructor Detail

RLogSplineDistribution

public RLogSplineDistribution()

RLogSplineDistribution

public RLogSplineDistribution(double maxValue)

RLogSplineDistribution

public RLogSplineDistribution(java.lang.String name)

RLogSplineDistribution

public RLogSplineDistribution(double maxValue,
                              java.lang.String name)

Method Detail

addValues

public void addValues(double... values)
               throws NonConvergenceException

Throws:

NonConvergenceException

getValsString

public java.lang.String getValsString()

probability

public double probability(double x)

Specified by:

probability in interface org.apache.commons.math3.distribution.RealDistribution

Overrides:

probability in class org.apache.commons.math3.distribution.AbstractRealDistribution

density

public double density(double x)

cumulativeProbability

public double cumulativeProbability(double x)

getNumericalMean

public double getNumericalMean()

Calculates the numerical mean under the plot function of the log-spline fit. The upper bound for integration is the longest observed trace. Might return Double.NaN in the worst case.

getNumericalVariance

public double getNumericalVariance()

getSupportLowerBound

public double getSupportLowerBound()

getSupportUpperBound

public double getSupportUpperBound()

isSupportLowerBoundInclusive

public boolean isSupportLowerBoundInclusive()

isSupportUpperBoundInclusive

public boolean isSupportUpperBoundInclusive()

isSupportConnected

public boolean isSupportConnected()

sample

public double sample()

Specified by:

sample in interface org.apache.commons.math3.distribution.RealDistribution

Overrides:

sample in class org.apache.commons.math3.distribution.AbstractRealDistribution

sample

public double[] sample(int sampleSize)

Specified by:

sample in interface org.apache.commons.math3.distribution.RealDistribution

Overrides:

sample in class org.apache.commons.math3.distribution.AbstractRealDistribution