distribution
Class BasicMultivariateMixture

java.lang.Object
  distribution.BasicMultivariateDistribution
      distribution.BasicMultivariateMixture

All Implemented Interfaces:

MultivariateDistribution, MultivariateMixture

public class BasicMultivariateMixture
extends BasicMultivariateDistribution
implements MultivariateMixture

Implements the functionality in MultivariateMixture.

Author:

dgorur

Field Summary

Fields inherited from class distribution.BasicMultivariateDistribution

randomEngine

Constructor Summary

BasicMultivariateMixture()
Default constructor.

Method Summary

void	addComponent(MultivariateDistribution dist) Adds the given MultivariateDistribution to the list of components of this mixture.
double	densityAt(double[] x) Computes the density at the given point.
MultivariateDistribution	getComponent(int index) Returns the requested component of this mixture.
java.util.ArrayList<MultivariateDistribution>	getComponents() Returns the list of components as an ArrayList.
cern.colt.list.DoubleArrayList	getMixingPmf() Returns a DoubleArrayList containing the mixing p.m.f.
void	nextSample(double[] arr) Generates the next random sample of this distribution and places the result in the supplied array.
void	setComponent(int index, MultivariateDistribution dist) Sets the desired component of the mixing p.m.f.
void	setComponents(java.util.ArrayList<MultivariateDistribution> components) Sets the list of components.
void	setMixingPmf(double[] pmf) Sets the mixing p.m.f.
void	setMixingPmf(cern.colt.matrix.DoubleMatrix1D pmf) Sets the mixing p.m.f.
void	setSeed(int seed) Sets the seed for the random number generator of this distribution instance.

Methods inherited from class distribution.BasicMultivariateDistribution

densityAt, densityAt, densityAt, densityAt, getInputDimension, makeNextSample, makeNextSample, nextSample, nextSample, nextSample, setInputDimension

Methods inherited from class java.lang.Object

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

Methods inherited from interface distribution.MultivariateDistribution

densityAt, densityAt, densityAt, densityAt, getInputDimension, makeNextSample, makeNextSample, nextSample, nextSample, nextSample, setInputDimension

Constructor Detail

BasicMultivariateMixture

public BasicMultivariateMixture()

Default constructor. Creates an empty mixture.

Method Detail

addComponent

public void addComponent(MultivariateDistribution dist)

Adds the given MultivariateDistribution to the list of components of this mixture.

Parameters:

dist - the given MultivariateDistribution.

densityAt

public double densityAt(double[] x)

Description copied from interface: MultivariateDistribution

Computes the density at the given point.

Specified by:

densityAt in interface MultivariateDistribution

Parameters:

x - the given point.

Returns:

the density at the given point.

getComponent

public MultivariateDistribution getComponent(int index)

Description copied from interface: MultivariateMixture

Returns the requested component of this mixture.

Specified by:

getComponent in interface MultivariateMixture

Parameters:

index - the index of the required component.

Returns:

the specified component of this mixture.

getComponents

public java.util.ArrayList<MultivariateDistribution> getComponents()

Description copied from interface: MultivariateMixture

Returns the list of components as an ArrayList.

Specified by:

getComponents in interface MultivariateMixture

Returns:

a list of components in this mixture.

getMixingPmf

public cern.colt.list.DoubleArrayList getMixingPmf()

Description copied from interface: MultivariateMixture

Returns a DoubleArrayList containing the mixing p.m.f.

Specified by:

getMixingPmf in interface MultivariateMixture

Returns:

the mixing p.m.f. for the mixture.

nextSample

public void nextSample(double[] arr)

Description copied from interface: MultivariateDistribution

Generates the next random sample of this distribution and places the result in the supplied array.

Specified by:

nextSample in interface MultivariateDistribution

Parameters:

arr - array to store the result, cannot be null.

setComponent

public void setComponent(int index,
                         MultivariateDistribution dist)

Description copied from interface: MultivariateMixture

Sets the desired component of the mixing p.m.f.

Specified by:

setComponent in interface MultivariateMixture

Parameters:

index - the index of the desired component of the p.m.f.

setComponents

public void setComponents(java.util.ArrayList<MultivariateDistribution> components)

Description copied from interface: MultivariateMixture

Sets the list of components.

Specified by:

setComponents in interface MultivariateMixture

Parameters:

components - the given list of components.

setMixingPmf

public void setMixingPmf(double[] pmf)

Description copied from interface: MultivariateMixture

Sets the mixing p.m.f.

Specified by:

setMixingPmf in interface MultivariateMixture

Parameters:

pmf - the given mixing p.m.f.

setMixingPmf

public void setMixingPmf(cern.colt.matrix.DoubleMatrix1D pmf)

Description copied from interface: MultivariateMixture

Sets the mixing p.m.f.

Specified by:

setMixingPmf in interface MultivariateMixture

Parameters:

pmf - the given mixing p.m.f.

setSeed

public void setSeed(int seed)

Description copied from interface: MultivariateDistribution

Sets the seed for the random number generator of this distribution instance.

Specified by:

setSeed in interface MultivariateDistribution

Parameters:

seed - the given seed.