Public Member Functions
void	add (unsigned long int k, double y)
	Add a data point. More...

const utility::Vector &	alpha (void) const

void	clear (void)
	remove all data

void	fit (size_t n)

void	fit (const utility::VectorBase &m, const utility::VectorBase &alpha, const utility::VectorBase &tau)

double	logL (void) const

const utility::Vector &	m (void) const

const utility::Vector &	tau (void) const

Detailed Description

Data are modeled as

$ X = y * Z $

where $ y $ is a known sample-specific constant and $ Z $ is a random variable from a mixture of negative binomial distributions.

Member Function Documentation

void theplu::yat::statistics::NegativeBinomialExtendedMixture::add	(	unsigned long int	k,
		double	y
	)

Add a data point.

Parameters

k	random variable drawn from a mixture of negative binomial distributions.
y	sample specific sample constant (see class description)

const utility::Vector& theplu::yat::statistics::NegativeBinomialExtendedMixture::alpha ( void ) const

The alpha values are defined as $alpha = \frac{1}{1-p}$

void theplu::yat::statistics::NegativeBinomialExtendedMixture::fit ( size_t n )

Fit the data to a model with n sub-distributions.

void theplu::yat::statistics::NegativeBinomialExtendedMixture::fit	(	const utility::VectorBase &	m,
		const utility::VectorBase &	alpha,
		const utility::VectorBase &	tau
	)

Fit the data initiating the search for the optimal model parameters at the values passed.

double theplu::yat::statistics::NegativeBinomialExtendedMixture::logL ( void ) const

const utility::Vector& theplu::yat::statistics::NegativeBinomialExtendedMixture::m ( void ) const

The mean is calculated as $m = \frac{pr}{1-p}$

const utility::Vector& theplu::yat::statistics::NegativeBinomialExtendedMixture::tau ( void ) const

Returns: tau values in model, describing how much each sub-distribution contributes to the total distribution.

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