Definition at line 345 of file BayesianCalculator.cxx.
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| | PosteriorFunction (RooAbsReal &nll, RooRealVar &poi, RooArgList &nuisParams, RooAbsReal *prior=nullptr, const char *integType=nullptr, double norm=1.0, double nllOffset=0, int niter=0) |
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| ROOT::Math::IGenFunction * | Clone () const override |
| | Clone a function.
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| double | Error () const |
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| virtual | ~IBaseFunctionOneDim ()=default |
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| double | Derivative (const double *x) const |
| | Compatibility method with multi-dimensional interface for partial derivative.
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| double | Derivative (double x) const |
| | Return the derivative of the function at a point x Use the private method DoDerivative.
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| void | FdF (const double *x, double &f, double *df) const |
| | Compatibility method with multi-dimensional interface for Gradient and function evaluation.
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| 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.
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| void | Gradient (const double *x, double *g) const |
| | Compatibility method with multi-dimensional interface for Gradient.
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| virtual bool | HasGradient () const |
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| double | operator() (const double *x) const |
| | Evaluate the function at a point x[].
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| double | operator() (double x) const |
| | Evaluate the function at a point x.
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◆ PosteriorFunction()
◆ Clone()
◆ DoEval()
| double RooStats::PosteriorFunction::DoEval |
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double | x | ) |
const |
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inlineoverrideprivatevirtual |
◆ Error()
| double RooStats::PosteriorFunction::Error |
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const |
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inline |
◆ fError
| double RooStats::PosteriorFunction::fError = 0 |
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mutableprivate |
◆ fFunctor
◆ fIntegratorMultiDim
◆ fIntegratorOneDim
◆ fLikelihood
◆ fNorm
| double RooStats::PosteriorFunction::fNorm |
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private |
◆ fPoi
◆ fPriorFunc
| std::shared_ptr<RooFunctor> RooStats::PosteriorFunction::fPriorFunc |
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mutableprivate |
◆ fXmax
| std::vector<double> RooStats::PosteriorFunction::fXmax |
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private |
◆ fXmin
| std::vector<double> RooStats::PosteriorFunction::fXmin |
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private |