Closure hoding the data required do use GibbsSampler2 See FitSpots for naming of variables. More...

Inheritance diagram for DataForMCMC:

Public Member Functions
MT19937 &	get_rng () const
	DataForMCMC (const vector< ImageRef > &pixels_, const vector< vector< double > > &pixel_intensities_, double mu_brightness_, double sigma_brightness_, double mu_blur_, double sigma_blur_, double variance_, int samples_, int sample_iterations_, Matrix< 3 > A_, Vector< 3 > pi_, MT19937 &rng_)
Protected Attributes
const vector< ImageRef > &	pixels
const vector< vector< double > > &	pixel_intensities
const double	mu_brightness
const double	sigma_brightness
const double	mu_blur
const double	sigma_blur
const double	variance
const int	samples
const int	sample_iterations
const Matrix< 3 >	A
const Vector< 3 >	pi
MT19937 &	rng

Detailed Description

Closure hoding the data required do use GibbsSampler2 See FitSpots for naming of variables.

Definition at line 176 of file multispot5.cc.

Constructor & Destructor Documentation

DataForMCMC::DataForMCMC	(	const vector< ImageRef > &	pixels_,
		const vector< vector< double > > &	pixel_intensities_,
		double	mu_brightness_,
		double	sigma_brightness_,
		double	mu_blur_,
		double	sigma_blur_,
		double	variance_,
		int	samples_,
		int	sample_iterations_,
		Matrix< 3 >	A_,
		Vector< 3 >	pi_,
		MT19937 &	rng_
	)		`[inline]`

Definition at line 195 of file multispot5.cc.

    :pixels(pixels_),
     pixel_intensities(pixel_intensities_),
     mu_brightness(mu_brightness_),
     sigma_brightness(sigma_brightness_),
     mu_blur(mu_blur_),
     sigma_blur(sigma_blur_),
     variance(variance_),
     samples(samples_),
     sample_iterations(sample_iterations_),
     A(A_),
     pi(pi_),
     rng(rng_)
    {}