File lfmcmc-meat.hpp¶

FileList > epiworld > math > lfmcmc > lfmcmc-meat.hpp

#include "lfmcmc-bones.hpp"
#include "lfmcmc-meat-print.hpp"

Public Functions¶

Type	Name
epiworld_double	kernel_fun_gaussian (const std::vector< epiworld_double > & simulated_stats, const std::vector< epiworld_double > & observed_stats, epiworld_double epsilon, LFMCMC< TData > * m) Gaussian kernel.
epiworld_double	kernel_fun_uniform (const std::vector< epiworld_double > & simulated_stats, const std::vector< epiworld_double > & observed_stats, epiworld_double epsilon, LFMCMC< TData > * m) Uses the uniform kernel with euclidean distance.
LFMCMCProposalFun< TData >	make_proposal_norm_reflective (epiworld_double scale, epiworld_double lb, epiworld_double ub) Factory for a reflective normal kernel.
void	proposal_fun_normal (std::vector< epiworld_double > & new_params, const std::vector< epiworld_double > & old_params, LFMCMC< TData > * m) Proposal function.
void	proposal_fun_unif (std::vector< epiworld_double > & new_params, const std::vector< epiworld_double > & old_params, LFMCMC< TData > * m) Uniform proposal kernel.

Macros¶

Type	Name
define	DURCAST (tunit, txtunit) `/* multi line expression */`
define	sqrt2pi () `2.5066282746310002416`

Public Functions Documentation¶

function kernel_fun_gaussian¶

Gaussian kernel.

template<typename TData>
inline epiworld_double kernel_fun_gaussian (
    const std::vector< epiworld_double > & simulated_stats,
    const std::vector< epiworld_double > & observed_stats,
    epiworld_double epsilon,
    LFMCMC < TData > * m
)

Template parameters:

TData

Parameters:

simulated_stats Vector of statistics based on simulated data
observed_stats Vector of observed statistics
epsilon Epsilon parameter
m LFMCMC model

Returns:

epiworld_double

function kernel_fun_uniform¶

Uses the uniform kernel with euclidean distance.

template<typename TData>
inline epiworld_double kernel_fun_uniform (
    const std::vector< epiworld_double > & simulated_stats,
    const std::vector< epiworld_double > & observed_stats,
    epiworld_double epsilon,
    LFMCMC < TData > * m
)

Parameters:

simulated_stats Vector of statistics based on simulated data
observed_stats Vector of observed statistics
epsilon Epsilon parameter
m LFMCMC model

Returns:

epiworld_double

function make_proposal_norm_reflective¶

Factory for a reflective normal kernel.

template<typename TData>
inline LFMCMCProposalFun < TData > make_proposal_norm_reflective (
    epiworld_double scale,
    epiworld_double lb,
    epiworld_double ub
)

Reflective kernel corrects proposals by forcing them to be within prespecified boundaries.

Template parameters:

TData

Parameters:

scale Scale of the normal kernel
lb Lower bound (applies the same to all parameters)
ub Upper bound (applies the same to all parameters)

Returns:

LFMCMCProposalFun<TData>

function proposal_fun_normal¶

Proposal function.

template<typename TData>
inline void proposal_fun_normal (
    std::vector< epiworld_double > & new_params,
    const std::vector< epiworld_double > & old_params,
    LFMCMC < TData > * m
)

Parameters:

new_params Vector where to save the new parameters.
old_params Vector of reference parameters.
m LFMCMC model.

Template parameters:

TData

function proposal_fun_unif¶

Uniform proposal kernel.

template<typename TData>
inline void proposal_fun_unif (
    std::vector< epiworld_double > & new_params,
    const std::vector< epiworld_double > & old_params,
    LFMCMC < TData > * m
)

Proposals are made within a radious 1 of the current state of the parameters.

Parameters:

new_params Where to write the new parameters
old_params Reference parameters

Template parameters:

TData

Parameters:

m LFMCMC model.

Macro Definition Documentation¶

define DURCAST¶

#define DURCAST (
    tunit,
    txtunit
) `/* multi line expression */`

define sqrt2pi¶

#define sqrt2pi (

) `2.5066282746310002416`

The documentation for this class was generated from the following file epiworld-src/include/epiworld/math/lfmcmc/lfmcmc-meat.hpp