Inheritance diagram for MetropolisHastings:

Public Member Functions
	MetropolisHastings (const PsiPsychometric Model, const PsiData Data, PsiRandom *proposal)
	initialize the sampler
std::vector< double >	draw (void)
	perform a metropolis hastings step and draw a sample from the posterior
virtual double	acceptance_probability (const std::vector< double > &current_theta, const std::vector< double > &new_theta)
void	setTheta (const std::vector< double > &prm)
	set the current state of the sampler
std::vector< double >	getTheta (void)
	get the current state of the sampler
double	getDeviance (void)
	get the current deviance
void	setStepSize (double size, unsigned int param)
	set the standard deviation of the proposal distribution for parameter param
void	setStepSize (const std::vector< double > &sizes)
	set standard deviations of the proposal distribution for all parameters at once
std::vector< double >	getStepsize (void)
	return the current stepwidth (standard deviations of the proposal distribution)
MCMCList	sample (unsigned int N)
	draw N samples from the posterior
unsigned int	getNparams (void)
	get the number of parameters for which the sampler is set up
virtual void	proposePoint (std::vector< double > &current_theta, std::vector< double > &step_widths, PsiRandom *proposal, std::vector< double > &new_theta)
	propose a new sample and save it in new_theta
Protected Attributes
double	qold

Constructor & Destructor Documentation

MetropolisHastings::MetropolisHastings	(	const PsiPsychometric *	Model,
		const PsiData *	Data,
		PsiRandom *	proposal
	)

initialize the sampler

Parameters:

	Model	psychometric funciton model to sample from
	Data	data to base inference on
	proposal	proposal distribution (will usually be a gaussian)

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

MetropolisHastings Class Reference