Multinomial Class Reference

This is the class that calculates a log likelihood score by comparing 2 vectors based on a multinomial distribution. More...

#include <multinomial.h>

Collaboration diagram for Multinomial:

Public Member Functions
	Multinomial ()
	This is the default Multinomial constructor. More...
	~Multinomial ()
	This is the default Multinomial destructor. More...
void	setValue (double value)
	This function will set the minimum probability value. More...
void	Reset ()
	This function will reset the log likelihood score. More...
double	calcLogLikelihood (const DoubleVector &data, const DoubleVector &dist)
	This is the function that calculates a log likelihood score by comparing 2 vectors based on a multinomial distribution. More...
double	getLogLikelihood () const
	This will return the log likelihood score. More...

Protected Attributes
double	bigvalue
	This is used to calculate the default minimum probability for unlikely values. More...
double	loglikelihood
	This is the log likelihood score. More...

Detailed Description

This is the class that calculates a log likelihood score by comparing 2 vectors based on a multinomial distribution.

Constructor & Destructor Documentation

Multinomial()

Multinomial::Multinomial ( )

inline

This is the default Multinomial constructor.

~Multinomial()

Multinomial::~Multinomial ( )

inline

This is the default Multinomial destructor.

Member Function Documentation

calcLogLikelihood()

double Multinomial::calcLogLikelihood	(	const DoubleVector &	data,
		const DoubleVector &	dist
	)

This is the function that calculates a log likelihood score by comparing 2 vectors based on a multinomial distribution.

Parameters

data	is the DoubleVector containing the input data
dist	is the DoubleVector containing the modelled data

Returns

likelihood

getLogLikelihood()

double Multinomial::getLogLikelihood ( ) const

inline

This will return the log likelihood score.

Returns

loglikelihood

Reset()

void Multinomial::Reset ( )

inline

This function will reset the log likelihood score.

setValue()

void Multinomial::setValue ( double  value )

inline

This function will set the minimum probability value.

Parameters

value

is the bigvalue used to calculate the minimum probabilty

Member Data Documentation

bigvalue

double Multinomial::bigvalue

protected

This is used to calculate the default minimum probability for unlikely values.

loglikelihood

double Multinomial::loglikelihood

protected

This is the log likelihood score.

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The documentation for this class was generated from the following files:

• src/include/multinomial.h
• src/multinomial.cc