GaussFitter::GaussFitResult Struct Reference

struct of parameters of a Gaussian distribution More...

#include <OpenMS/MATH/STATISTICS/GaussFitter.h>

Collaboration diagram for GaussFitter::GaussFitResult:

Public Member Functions
	GaussFitResult ()
	GaussFitResult (double a, double x, double s)
double	eval (double x) const
	Evaluate the current density Gaussian model at the specified point. More...
double	log_eval_no_normalize (double x) const
	Evaluate the current log density of the Gaussian model at the specified point. More...

Public Attributes
double	A
	parameter A of Gaussian distribution (amplitude) More...
double	x0
	parameter x0 of Gaussian distribution (center position) More...
double	sigma
	parameter sigma of Gaussian distribution (width) More...

Private Attributes
double	logsigma
	cached value of log sigma More...
double	halflogtwopi = 0.5*log(2.0*Constants::PI)

Detailed Description

struct of parameters of a Gaussian distribution

Constructor & Destructor Documentation

GaussFitResult() [1/2]

GaussFitResult ( )

inline

GaussFitResult() [2/2]

GaussFitResult ( double  a, double  x, double  s  )

inline

Member Function Documentation

eval()

double eval

(

double

x

)

const

Evaluate the current density Gaussian model at the specified point.

Returns the intensities (i.e. probabilities scaled by the factor 'A') of the PDF at the given positions. This function can be called with any set of parameters, e.g. the initial parameters (to get a 'before-fit' status), or after fitting.

log_eval_no_normalize()

double log_eval_no_normalize

(

double

x

)

const

Evaluate the current log density of the Gaussian model at the specified point.

Returns the intensities (i.e. probabilities scaled by the factor 'A') of the PDF at the given positions. This function can be called with any set of parameters, e.g. the initial parameters (to get a 'before-fit' status), or after fitting.

Member Data Documentation

A

double A

parameter A of Gaussian distribution (amplitude)

halflogtwopi

double halflogtwopi = 0.5*log(2.0*Constants::PI)

private

logsigma

double logsigma

private

cached value of log sigma

sigma

double sigma

parameter sigma of Gaussian distribution (width)

Referenced by PosteriorErrorProbabilityModel::getGumbel_().

x0

double x0

parameter x0 of Gaussian distribution (center position)

Referenced by PosteriorErrorProbabilityModel::getGumbel_().