LauParameter.hh
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117 LauParameter( const TString& parName, Double_t parValue, Double_t min, Double_t max, Bool_t parFixed );
Double_t globalCorrelationCoeff() const The parameter global correlation coefficient. Definition: LauParameter.hh:259 void valueAndErrors(Double_t newValue, Double_t newError, Double_t newNegError=0.0, Double_t newPosError=0.0) Set the value and errors on the parameter. Definition: LauParameter.cc:428 void clone(LauParameter *theparent) Mark this as a clone of the given parent. Definition: LauParameter.hh:484 void generateConstraintMean() Generate per-experiment constraint mean. Definition: LauParameter.cc:564 Double_t minValue() const The minimum value allowed for the parameter. Definition: LauParameter.hh:217 void randomiseValue() Randomise the value of the parameter (if it is floating). Definition: LauParameter.cc:743 File containing declaration of LauAbsRValue class. Bool_t secondStage() const Check whether the parameter should be floated only in the second stage of a two stage fit. Definition: LauParameter.hh:241 Class for blinding and unblinding a number based on a blinding string. Definition: LauBlind.hh:42 std::ostream & operator<<(std::ostream &stream, const LauParameter &par) Output stream operator. Definition: LauParameter.cc:776 LauParameter & operator=(const LauParameter &rhs) Copy assignment operator. Definition: LauParameter.cc:332 LauParameter * createClone(Double_t constFactor=1.0) Method to create a clone from the parent parameter using the copy constructor. Definition: LauParameter.cc:677 Double_t maxValue() const The maximum value allowed for the parameter. Definition: LauParameter.hh:223 void blindParameter(const TString &blindingString, const Double_t width) Blind the parameter. Definition: LauParameter.cc:583 std::vector< std::vector< LauParameter > > LauParArray Type to define an array of parameters. Definition: LauParameter.hh:570 void addGaussianConstraint(Double_t newGaussMean, Double_t newGaussWidth) Add a Gaussian constraint (or modify an existing one) Definition: LauParameter.cc:541 Pure abstract base class for defining a parameter containing an R value. Definition: LauAbsRValue.hh:45 Bool_t gaussConstraint() const Check whether a Gaussian constraints is applied. Definition: LauParameter.hh:247 void errors(Double_t newError, Double_t newNegError, Double_t newPosError) Set the error values on the parameter. Definition: LauParameter.cc:416 File containing declaration of LauBlind class. The abstract interface for the objects that control the calculation of the likelihood. Definition: LauFitObject.hh:47 Bool_t secondStage_ Flag whether it is floated only in the second stage of the fit. Definition: LauParameter.hh:532 void valueAndRange(Double_t newValue, Double_t newMinValue, Double_t newMaxValue) Set the value and range for the parameter. Definition: LauParameter.cc:504 std::map< LauParameter *, Double_t > clones_ The clones of this parameter. Definition: LauParameter.hh:558 Double_t constraintPenalty() const The penalty term from the Gaussian constraint. Definition: LauParameter.cc:574 void checkRange() Method to check whether value provided is whithin the range and that the minimum and maximum limits m... Definition: LauParameter.hh:475 Generated by 1.8.18 |