Definition at line 161 of file BayesianCalculator.cxx.
Public Member Functions | |
| PosteriorCdfFunction (const PosteriorCdfFunction &rhs) | |
| PosteriorCdfFunction (RooAbsReal &nll, RooArgList &bindParams, RooAbsReal *prior=nullptr, const char *integType=nullptr, double nllMinimum=0) | |
| ROOT::Math::IGenFunction * | Clone () const override |
| Clone a function. | |
| bool | HasError () const |
| void | SetOffset (double offset) |
Public Member Functions inherited from ROOT::Math::IBaseFunctionOneDim | |
| virtual | ~IBaseFunctionOneDim ()=default |
| 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. | |
| 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 | |
| double | DoEval (double x) const override |
| implementation of the evaluation function. Must be implemented by derived classes | |
| PosteriorCdfFunction & | operator= (const PosteriorCdfFunction &) |
Private Attributes | |
| bool | fError = false |
| RooFunctor | fFunctor |
| bool | fHasNorm = false |
| std::unique_ptr< ROOT::Math::IntegratorMultiDim > | fIntegrator |
| std::unique_ptr< ROOT::Math::Integrator > | fIntegratorOneDim |
| LikelihoodFunction | fLikelihood |
| double | fMaxPOI = 0 |
| double | fNorm = 1.0 |
| std::map< double, double > | fNormCdfValues |
| double | fNormErr = 0.0 |
| double | fOffset = 0 |
| std::shared_ptr< RooFunctor > | fPriorFunc |
| bool | fUseOldValues = true |
| std::vector< double > | fXmax |
| std::vector< double > | fXmin |
Additional Inherited Members | |
Public Types inherited from ROOT::Math::IBaseFunctionOneDim | |
| typedef IBaseFunctionOneDim | BaseFunc |
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inline |
Definition at line 165 of file BayesianCalculator.cxx.
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inline |
Definition at line 220 of file BayesianCalculator.cxx.
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inlineoverridevirtual |
Clone a function.
Each derived class will implement their version of the private DoClone method.
Implements ROOT::Math::IBaseFunctionOneDim.
Definition at line 255 of file BayesianCalculator.cxx.
implementation of the evaluation function. Must be implemented by derived classes
Implements ROOT::Math::IBaseFunctionOneDim.
Definition at line 270 of file BayesianCalculator.cxx.
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Definition at line 252 of file BayesianCalculator.cxx.
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Definition at line 266 of file BayesianCalculator.cxx.
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inline |
Definition at line 261 of file BayesianCalculator.cxx.
Definition at line 358 of file BayesianCalculator.cxx.
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mutableprivate |
Definition at line 345 of file BayesianCalculator.cxx.
Definition at line 356 of file BayesianCalculator.cxx.
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Definition at line 348 of file BayesianCalculator.cxx.
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mutableprivate |
Definition at line 349 of file BayesianCalculator.cxx.
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Definition at line 347 of file BayesianCalculator.cxx.
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Definition at line 355 of file BayesianCalculator.cxx.
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private |
Definition at line 352 of file BayesianCalculator.cxx.
Definition at line 359 of file BayesianCalculator.cxx.
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Definition at line 353 of file BayesianCalculator.cxx.
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Definition at line 354 of file BayesianCalculator.cxx.
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Definition at line 346 of file BayesianCalculator.cxx.
Definition at line 357 of file BayesianCalculator.cxx.
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Definition at line 351 of file BayesianCalculator.cxx.
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mutableprivate |
Definition at line 350 of file BayesianCalculator.cxx.