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 |