#include "Headers/Model1D.h"

Inheritance diagram for cbl::statistics::Model1D:

Collaboration diagram for cbl::statistics::Model1D:

Public Member Functions
void	set_function (const model_function_1D function)
	set the model function More...

void	set_function (const std::vector< double >(*function)(const std::vector< double > xx, std::vector< double > &val))
	set the model function More...

double	operator() (const double xx, std::vector< double > &parameters) const override
	evaluate the model function at xx More...

std::vector< double >	operator() (const std::vector< double > xx, std::vector< double > &parameters) const override
	evaluate the model function at xx More...

void	stats_from_chains (const std::vector< double > xx, std::vector< double > &median_model, std::vector< double > &low_model, std::vector< double > &up_model, const int start=0, const int thin=1) override
	compute the median and percentiles of the model from MCMC chains More...

void	write (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > parameters) override
	write the model at xx for given parameters More...

void	write_at_bestfit (const std::string output_dir, const std::string output_file, const std::vector< double > xx) override
	write the model at xx with best-fit parameters obtained from likelihood maximization More...

void	write_from_chains (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const int start=0, const int thin=1) override
	write the model at xx computing 16th, 50th and 84th percentiles from the chains. More...

Constructors/destructors
	Model1D ()
	default constructor

	Model1D (const model_function_1D function, const size_t nparameters, std::vector< ParameterType > parameterTypes={}, std::vector< std::string > parameterNames={}, const std::shared_ptr< void > inputs=NULL)
	constructor More...

	Model1D (const std::vector< double >(*function)(const std::vector< double > xx, std::vector< double > &val), const size_t nparameters, std::vector< ParameterType > parameterTypes={}, std::vector< std::string > parameterNames={}, const std::shared_ptr< void > inputs=NULL)
	constructor More...

	~Model1D ()=default
	default destructor

Public Member Functions inherited from cbl::statistics::Model
Dim	dimension () const
	return the model dimension More...

void	set_function (const model_function_1D function)
	set the model function, for Model1D More...

void	set_function (const std::vector< double >(*function)(const std::vector< double > xx, std::vector< double > &val))
	set the model function, for Model1D More...

void	set_function (const model_function_2D function)
	set the model function, for Model2D More...

void	set_inputs (std::shared_ptr< void > inputs)
	set the model inputs More...

void	set_parameters (const std::shared_ptr< ModelParameters > parameters)
	set the model parameters More...

void	set_parameters (const size_t nparameters, std::vector< ParameterType > parameterTypes, std::vector< std::string > parameterNames)
	set the model parameters More...

std::shared_ptr< void >	inputs ()
	return the model inputs More...

std::shared_ptr< ModelParameters >	parameters ()
	return the model parameters More...

std::vector< std::vector< double > >	operator() (const std::vector< std::vector< double >> xx, std::vector< double > &parameters) const
	evalueate the model function at xx, for Model1D More...

virtual double	operator() (const double xx, const double yy, std::vector< double > &parameters) const
	evaluate the model function at xx, yy, for Model2D More...

virtual std::vector< std::vector< double > >	operator() (const std::vector< double > xx, const std::vector< double > yy, std::vector< double > &parameters) const
	evaluate the model function at xx, yy, for Model2D More...

void	stats_from_chains (const std::vector< std::vector< double >> xx, std::vector< std::vector< double >> &median_model, std::vector< std::vector< double >> &low_model, std::vector< std::vector< double >> &up_model, const int start=0, const int thin=1)
	compute the median and percentiles of the model from MCMC chains More...

virtual void	stats_from_chains (const std::vector< double > xx, const std::vector< double > yy, std::vector< std::vector< double >> &median_model, std::vector< std::vector< double >> &low_model, std::vector< std::vector< double >> &up_model, const int start=0, const int thin=1)
	compute the median and percentiles of the model from MCMC chains More...

virtual void	write (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > yy, const std::vector< double > parameters)
	write the model at xx, yy for given parameters More...

virtual void	write_at_bestfit (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > yy)
	write the model at xx, yy with best-fit parameters obtained from likelihood maximization More...

virtual void	write_from_chains (const std::string output_dir, const std::string output_file, const std::vector< double > xx, const std::vector< double > yy, const int start=0, const int thin=1)
	write the model at xx, yy computing 16th, 50th and 84th percentiles from the chains. More...

	Model ()=default
	default constructor

	Model (const int nparameters, std::vector< ParameterType > parameterTypes, std::vector< std::string > parameterNames, const std::shared_ptr< void > inputs)
	constructor More...

virtual	~Model ()=default
	default destructor

Additional Inherited Members
Protected Attributes inherited from cbl::statistics::Model
std::shared_ptr< void >	m_inputs
	inputs of the model

std::shared_ptr< ModelParameters >	m_parameters
	parameters of the model

model_function_generic	m_function
	the model function

Dim	m_dimension
	the model dimension

Detailed Description

The class Model1D.

This class is used to define 1D models

Examples: fit.cpp.

Definition at line 60 of file Model1D.h.

Constructor & Destructor Documentation

◆ Model1D() [1/2]

cbl::statistics::Model1D::Model1D	(	const model_function_1D	function,
		const size_t	nparameters,
		std::vector< ParameterType >	parameterTypes = `{}`,
		std::vector< std::string >	parameterNames = `{}`,
		const std::shared_ptr< void >	inputs = `NULL`
	)

inline

constructor

Parameters

function	model function
nparameters	the number of parameters
parameterTypes	the parameter types
parameterNames	the parameter names
inputs	inputs of the model

Definition at line 91 of file Model1D.h.

◆ Model1D() [2/2]

cbl::statistics::Model1D::Model1D	(	const std::vector< double >(*)(const std::vector< double > xx, std::vector< double > &val)	function,
		const size_t	nparameters,
		std::vector< ParameterType >	parameterTypes = `{}`,
		std::vector< std::string >	parameterNames = `{}`,
		const std::shared_ptr< void >	inputs = `NULL`
	)

inline

constructor

Parameters

function	model function
nparameters	the number of parameters
parameterTypes	the parameter types
parameterNames	the parameter names
inputs	inputs of the model

Definition at line 109 of file Model1D.h.

Member Function Documentation

◆ operator()() [1/2]

double cbl::statistics::Model1D::operator()	(	const double	xx,
		std::vector< double > &	parameters
	)		const

inlineoverridevirtual

evaluate the model function at xx

Parameters

xx	the positions at which the model is computed
parameters	vector containing the model parameters

Returns: vector containing model values

Reimplemented from cbl::statistics::Model.

Definition at line 151 of file Model1D.h.

◆ operator()() [2/2]

std::vector<double> cbl::statistics::Model1D::operator()	(	const std::vector< double >	xx,
		std::vector< double > &	parameters
	)		const

inlineoverridevirtual

evaluate the model function at xx

Parameters

xx	vector containing the positions at which the model is computed
parameters	vector containing the model parameters

Returns: vector containing model values

Reimplemented from cbl::statistics::Model.

Definition at line 168 of file Model1D.h.

◆ set_function() [1/2]

void cbl::statistics::Model1D::set_function ( const model_function_1D function )

set the model function

Parameters

function pointer to a model_function_1D

Definition at line 44 of file Model1D.cpp.

◆ set_function() [2/2]

void cbl::statistics::Model1D::set_function ( const std::vector< double >(*)(const std::vector< double > xx, std::vector< double > &val) function )

set the model function

Parameters

function pointer to a model_function_1D

Warning: function passed in this way doesn't allow for input parameters

Definition at line 57 of file Model1D.cpp.

◆ stats_from_chains()

void cbl::statistics::Model1D::stats_from_chains	(	const std::vector< double >	xx,
		std::vector< double > &	median_model,
		std::vector< double > &	low_model,
		std::vector< double > &	up_model,
		const int	start = `0`,
		const int	thin = `1`
	)

overridevirtual

compute the median and percentiles of the model from MCMC chains

Parameters

xx	vector of points at which the model is computed,
median_model	the median model
low_model	the model at 16th percentile
up_model	the model at 84th percentile
start	the starting position for each chain
thin	the position step

Reimplemented from cbl::statistics::Model.

Definition at line 71 of file Model1D.cpp.

◆ write()

void cbl::statistics::Model1D::write	(	const std::string	output_dir,
		const std::string	output_file,
		const std::vector< double >	xx,
		const std::vector< double >	parameters
	)

overridevirtual

write the model at xx for given parameters

Parameters

output_dir	the output directory
output_file	the output file
xx	vector of points at which the model is computed,
parameters	vector containing the input parameters used to compute the model; if this vector is not provided, the model will be computed using the best-fit parameters

Reimplemented from cbl::statistics::Model.

Definition at line 86 of file Model1D.cpp.

◆ write_at_bestfit()

void cbl::statistics::Model1D::write_at_bestfit	(	const std::string	output_dir,
		const std::string	output_file,
		const std::vector< double >	xx
	)

overridevirtual

write the model at xx with best-fit parameters obtained from likelihood maximization

Parameters

output_dir	the output directory
output_file	the output file
xx	vector of points at which the model is computed,

Reimplemented from cbl::statistics::Model.

Definition at line 122 of file Model1D.cpp.

◆ write_from_chains()

void cbl::statistics::Model1D::write_from_chains	(	const std::string	output_dir,
		const std::string	output_file,
		const std::vector< double >	xx,
		const int	start = `0`,
		const int	thin = `1`
	)

overridevirtual

write the model at xx computing 16th, 50th and 84th percentiles from the chains.

Parameters

output_dir	the output directory
output_file	the output file
xx	vector of points at which the model is computed,
start	the starting position for each chain
thin	the position step

Reimplemented from cbl::statistics::Model.

Definition at line 132 of file Model1D.cpp.

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

Headers/Model1D.h
Statistics/Model1D.cpp

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ Model1D() [1/2]

◆ Model1D() [2/2]

Member Function Documentation

◆ operator()() [1/2]

◆ operator()() [2/2]

◆ set_function() [1/2]

◆ set_function() [2/2]

◆ stats_from_chains()

◆ write()

◆ write_at_bestfit()

◆ write_from_chains()