Definition at line 367 of file BayesianCalculator.cxx.

Public Types
typedef IBaseFunctionOneDim	BaseFunc

Public Member Functions
	PosteriorFunction (RooAbsReal &nll, RooRealVar &poi, RooArgList &nuisParams, RooAbsReal prior=nullptr, const char integType=nullptr, double norm=1.0, double nllOffset=0, int niter=0)
ROOT::Math::IGenFunction *	Clone () const override
	Clone a function.
double	Derivative (const double *x) const
	Compatibility method with multi-dimensional interface for partial derivative.
double	Derivative (double x) const
	Return the derivative of the function at a point x Use the private method DoDerivative.
double	Error () const
void	FdF (const double x, double &f, double df) const
	Compatibility method with multi-dimensional interface for Gradient and function evaluation.
virtual void	FdF (double x, double &f, double &df) const
	Optimized method to evaluate at the same time the function value and derivative at a point x.
void	Gradient (const double x, double g) const
	Compatibility method with multi-dimensional interface for Gradient.
virtual bool	HasGradient () const
double	operator() (const double *x) const
	Evaluate the function at a point x[].
double	operator() (double x) const
	Evaluate the function at a point x.

Private Member Functions
virtual double	DoDerivative (double) const
	Function to evaluate the derivative with respect each coordinate. To be implemented by the derived class.
double	DoEval (double x) const override
	implementation of the evaluation function. Must be implemented by derived classes

Private Attributes
double	fError = 0
RooFunctor	fFunctor
std::unique_ptr< ROOT::Math::IntegratorMultiDim >	fIntegratorMultiDim
std::unique_ptr< ROOT::Math::Integrator >	fIntegratorOneDim
LikelihoodFunction	fLikelihood
double	fNorm
RooRealVar *	fPoi
std::shared_ptr< RooFunctor >	fPriorFunc
std::vector< double >	fXmax
std::vector< double >	fXmin

Inheritance diagram for RooStats::PosteriorFunction:

Member Typedef Documentation

◆ BaseFunc

typedef IBaseFunctionOneDim ROOT::Math::IBaseFunctionOneDim::BaseFunc

inherited

Definition at line 161 of file IFunction.h.

Constructor & Destructor Documentation

◆ PosteriorFunction()

RooStats::PosteriorFunction::PosteriorFunction	(	RooAbsReal &	nll,
		RooRealVar &	poi,
		RooArgList &	nuisParams,
		RooAbsReal *	prior = nullptr,
		const char *	integType = nullptr,
		double	norm = 1.0,
		double	nllOffset = 0,
		int	niter = 0 )

inline

Definition at line 372 of file BayesianCalculator.cxx.

Member Function Documentation

◆ Clone()

ROOT::Math::IGenFunction * RooStats::PosteriorFunction::Clone ( ) const

inlineoverridevirtual

Clone a function.

Each derived class will implement their version of the private DoClone method.

Implements ROOT::Math::IBaseFunctionOneDim.

Definition at line 419 of file BayesianCalculator.cxx.

◆ Derivative() [1/2]

double ROOT::Math::IBaseFunctionOneDim::Derivative ( const double * x ) const

inlineinherited

Compatibility method with multi-dimensional interface for partial derivative.

Definition at line 186 of file IFunction.h.

◆ Derivative() [2/2]

double ROOT::Math::IBaseFunctionOneDim::Derivative ( double x ) const

inlineinherited

Return the derivative of the function at a point x Use the private method DoDerivative.

Definition at line 183 of file IFunction.h.

◆ DoDerivative()

virtual double ROOT::Math::IBaseFunctionOneDim::DoDerivative ( double ) const

inlineprivatevirtualinherited

Function to evaluate the derivative with respect each coordinate. To be implemented by the derived class.

Reimplemented in ROOT::Math::GradFunctor1D, ROOT::Math::Polynomial, and ROOT::Math::WrappedTF1.

Definition at line 210 of file IFunction.h.

◆ DoEval()

double RooStats::PosteriorFunction::DoEval ( double x ) const

inlineoverrideprivatevirtual

implementation of the evaluation function. Must be implemented by derived classes

Implements ROOT::Math::IBaseFunctionOneDim.

Definition at line 428 of file BayesianCalculator.cxx.

◆ Error()

double RooStats::PosteriorFunction::Error ( ) const

inline

Definition at line 424 of file BayesianCalculator.cxx.

◆ FdF() [1/2]

void ROOT::Math::IBaseFunctionOneDim::FdF	(	const double *	x,
		double &	f,
		double *	df ) const

inlineinherited

Compatibility method with multi-dimensional interface for Gradient and function evaluation.

Definition at line 202 of file IFunction.h.

◆ FdF() [2/2]

virtual void ROOT::Math::IBaseFunctionOneDim::FdF	(	double	x,
		double &	f,
		double &	df ) const

inlinevirtualinherited

Optimized method to evaluate at the same time the function value and derivative at a point x.

Often both value and derivatives are needed and it is often more efficient to compute them at the same time. Derived class should implement this method if performances play an important role and if it is faster to evaluate value and derivative at the same time.

Reimplemented in ROOT::Math::Polynomial, and ROOT::Math::WrappedTF1.

Definition at line 195 of file IFunction.h.

◆ Gradient()

void ROOT::Math::IBaseFunctionOneDim::Gradient	(	const double *	x,
		double *	g ) const

inlineinherited

Compatibility method with multi-dimensional interface for Gradient.

Definition at line 189 of file IFunction.h.

◆ HasGradient()

virtual bool ROOT::Math::IBaseFunctionOneDim::HasGradient ( ) const

inlinevirtualinherited

Reimplemented in ROOT::Math::IGradientFunctionOneDim.

Definition at line 179 of file IFunction.h.

◆ operator()() [1/2]

double ROOT::Math::IBaseFunctionOneDim::operator() ( const double * x ) const

inlineinherited

Evaluate the function at a point x[].

Compatible method with multi-dimensional functions.

Definition at line 175 of file IFunction.h.

◆ operator()() [2/2]

double ROOT::Math::IBaseFunctionOneDim::operator() ( double x ) const

inlineinherited

Evaluate the function at a point x.

Use the a pure virtual private method DoEval which must be implemented by sub-classes.

Definition at line 171 of file IFunction.h.

Member Data Documentation

◆ fError

double RooStats::PosteriorFunction::fError = 0

mutableprivate

Definition at line 474 of file BayesianCalculator.cxx.

◆ fFunctor

RooFunctor RooStats::PosteriorFunction::fFunctor

mutableprivate

Definition at line 465 of file BayesianCalculator.cxx.

◆ fIntegratorMultiDim

std::unique_ptr<ROOT::Math::IntegratorMultiDim> RooStats::PosteriorFunction::fIntegratorMultiDim

private

Definition at line 470 of file BayesianCalculator.cxx.

◆ fIntegratorOneDim

std::unique_ptr<ROOT::Math::Integrator> RooStats::PosteriorFunction::fIntegratorOneDim

private

Definition at line 469 of file BayesianCalculator.cxx.

◆ fLikelihood

LikelihoodFunction RooStats::PosteriorFunction::fLikelihood

private

Definition at line 467 of file BayesianCalculator.cxx.

◆ fNorm

double RooStats::PosteriorFunction::fNorm

private

Definition at line 473 of file BayesianCalculator.cxx.

◆ fPoi

RooRealVar* RooStats::PosteriorFunction::fPoi

private

Definition at line 468 of file BayesianCalculator.cxx.

◆ fPriorFunc

std::shared_ptr<RooFunctor> RooStats::PosteriorFunction::fPriorFunc

mutableprivate

Definition at line 466 of file BayesianCalculator.cxx.

◆ fXmax

std::vector<double> RooStats::PosteriorFunction::fXmax

private

Definition at line 472 of file BayesianCalculator.cxx.

◆ fXmin

std::vector<double> RooStats::PosteriorFunction::fXmin

private

Definition at line 471 of file BayesianCalculator.cxx.

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

roofit/roostats/src/BayesianCalculator.cxx

Public Types

Public Member Functions

Private Member Functions

Private Attributes

Member Typedef Documentation

◆ BaseFunc

Constructor & Destructor Documentation

◆ PosteriorFunction()

Member Function Documentation

◆ Clone()

◆ Derivative() [1/2]

◆ Derivative() [2/2]

◆ DoDerivative()

◆ DoEval()

◆ Error()

◆ FdF() [1/2]

◆ FdF() [2/2]

◆ Gradient()

◆ HasGradient()

◆ operator()() [1/2]

◆ operator()() [2/2]

Member Data Documentation

◆ fError

◆ fFunctor

◆ fIntegratorMultiDim

◆ fIntegratorOneDim

◆ fLikelihood

◆ fNorm

◆ fPoi

◆ fPriorFunc

◆ fXmax

◆ fXmin