theplu::yat::statistics::Smoother Class Reference

Estimating a distribution in a smooth fashion. More...

#include <yat/statistics/Smoother.h>

List of all members.

Public Member Functions
	Smoother (const regression::Kernel &, double width, const std::vector< double > &values)
	Smoother (const regression::Kernel &kernel, double width, double xmin, double xmax, size_t n)
void	add (double x, double weight=1.0)
	Add a data point.
const std::vector< double > &	density (void) const
	estimated values
void	reset (void)
	reset density to zero
const std::vector< double > &	value (void) const
	values in which distribution is estimated

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Detailed Description

Estimating a distribution in a smooth fashion.

Since:

New in yat 0.5

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Constructor & Destructor Documentation

theplu::yat::statistics::Smoother::Smoother	(	const regression::Kernel &	,
		double	width,
		const std::vector< double > &	values
	)

Constructor taking vector describing for which values distribution should be estimated.

Note:

if values are not sorted the behavior is undefined

theplu::yat::statistics::Smoother::Smoother	(	const regression::Kernel &	kernel,
		double	width,
		double	xmin,
		double	xmax,
		size_t	n
	)

Constructor creating observation points equally distributed between xmin and xmax.

Parameters:

	kernel	doing the smoothing
	width
	xmin	smallest observation point
	xmax	largest observation point
	n	number of observation points

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

• yat/statistics/Smoother.h