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RooStats::PosteriorFunctionFromToyMC Class Reference

Posterior function obtaining sampling toy MC for the nuisance according to their pdf.

Definition at line 480 of file BayesianCalculator.cxx.

Public Types

typedef IBaseFunctionOneDim BaseFunc

Public Member Functions

 PosteriorFunctionFromToyMC (RooAbsReal &nll, RooAbsPdf &pdf, RooRealVar &poi, RooArgList &nuisParams, RooAbsReal *prior=nullptr, double nllOffset=0, int niter=0, bool redoToys=true)
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 GenerateToys () const
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 = -1
RooFunctor fFunctor
std::unique_ptr< RooDataSet > fGenParams
LikelihoodFunction fLikelihood
RooArgList fNuisParams
int fNumIterations
RooAbsPdf * fPdf
RooRealVar * fPoi
std::shared_ptr< RooFunctor > fPriorFunc
bool fRedoToys
Inheritance diagram for RooStats::PosteriorFunctionFromToyMC:
ROOT::Math::IBaseFunctionOneDim

Member Typedef Documentation

◆ BaseFunc

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

Definition at line 161 of file IFunction.h.

Constructor & Destructor Documentation

◆ PosteriorFunctionFromToyMC()

RooStats::PosteriorFunctionFromToyMC::PosteriorFunctionFromToyMC ( RooAbsReal & nll,
RooAbsPdf & pdf,
RooRealVar & poi,
RooArgList & nuisParams,
RooAbsReal * prior = nullptr,
double nllOffset = 0,
int niter = 0,
bool redoToys = true )
inline

Definition at line 483 of file BayesianCalculator.cxx.

Member Function Documentation

◆ Clone()

ROOT::Math::IGenFunction * RooStats::PosteriorFunctionFromToyMC::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 531 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::PosteriorFunctionFromToyMC::DoEval ( double x) const
inlineoverrideprivatevirtual

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

Implements ROOT::Math::IBaseFunctionOneDim.

Definition at line 541 of file BayesianCalculator.cxx.

◆ Error()

double RooStats::PosteriorFunctionFromToyMC::Error ( ) const
inline

Definition at line 529 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.

◆ GenerateToys()

void RooStats::PosteriorFunctionFromToyMC::GenerateToys ( ) const
inline

Definition at line 522 of file BayesianCalculator.cxx.

◆ 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::PosteriorFunctionFromToyMC::fError = -1
mutableprivate

Definition at line 641 of file BayesianCalculator.cxx.

◆ fFunctor

RooFunctor RooStats::PosteriorFunctionFromToyMC::fFunctor
mutableprivate

Definition at line 633 of file BayesianCalculator.cxx.

◆ fGenParams

std::unique_ptr<RooDataSet> RooStats::PosteriorFunctionFromToyMC::fGenParams
mutableprivate

Definition at line 639 of file BayesianCalculator.cxx.

◆ fLikelihood

LikelihoodFunction RooStats::PosteriorFunctionFromToyMC::fLikelihood
private

Definition at line 635 of file BayesianCalculator.cxx.

◆ fNuisParams

RooArgList RooStats::PosteriorFunctionFromToyMC::fNuisParams
private

Definition at line 638 of file BayesianCalculator.cxx.

◆ fNumIterations

int RooStats::PosteriorFunctionFromToyMC::fNumIterations
private

Definition at line 640 of file BayesianCalculator.cxx.

◆ fPdf

RooAbsPdf* RooStats::PosteriorFunctionFromToyMC::fPdf
mutableprivate

Definition at line 636 of file BayesianCalculator.cxx.

◆ fPoi

RooRealVar* RooStats::PosteriorFunctionFromToyMC::fPoi
private

Definition at line 637 of file BayesianCalculator.cxx.

◆ fPriorFunc

std::shared_ptr<RooFunctor> RooStats::PosteriorFunctionFromToyMC::fPriorFunc
mutableprivate

Definition at line 634 of file BayesianCalculator.cxx.

◆ fRedoToys

bool RooStats::PosteriorFunctionFromToyMC::fRedoToys
private

Definition at line 642 of file BayesianCalculator.cxx.

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