// @(#)root/roostats:$Id: FeldmanCousins.h 37403 2010-12-08 15:59:22Z moneta $ // Author: Kyle Cranmer, Lorenzo Moneta, Gregory Schott, Wouter Verkerke /************************************************************************* * Copyright (C) 1995-2008, Rene Brun and Fons Rademakers. * * All rights reserved. * * * * For the licensing terms see $ROOTSYS/LICENSE. * * For the list of contributors see $ROOTSYS/README/CREDITS. * *************************************************************************/ #ifndef ROOSTATS_FeldmanCousins #define ROOSTATS_FeldmanCousins #ifndef ROOT_Rtypes #include "Rtypes.h" #endif #ifndef ROOSTATS_IntervalCalculator #include "RooStats/IntervalCalculator.h" #endif #include "RooStats/ToyMCSampler.h" #include "RooStats/ConfidenceBelt.h" #include "RooStats/PointSetInterval.h" #include "RooAbsData.h" #include "RooAbsPdf.h" #include "RooArgSet.h" #include "TList.h" class RooAbsData; namespace RooStats { class ConfInterval; class FeldmanCousins : public IntervalCalculator { public: // FeldmanCousins(); // Common constructor FeldmanCousins(RooAbsData& data, ModelConfig& model); virtual ~FeldmanCousins(); // Main interface to get a ConfInterval (will be a PointSetInterval) virtual PointSetInterval* GetInterval() const; // Get the size of the test (eg. rate of Type I error) virtual Double_t Size() const {return fSize;} // Get the Confidence level for the test virtual Double_t ConfidenceLevel() const {return 1.-fSize;} // Set the DataSet virtual void SetData(RooAbsData& /*data*/) { cout << "DEPRECATED, set data in constructor" << endl; } // Set the Pdf virtual void SetPdf(RooAbsPdf& /*pdf*/) { cout << "DEPRECATED, use ModelConfig" << endl; } // specify the parameters of interest in the interval virtual void SetParameters(const RooArgSet& /*set*/) { cout << "DEPRECATED, use ModelConfig" << endl; } // specify the nuisance parameters (eg. the rest of the parameters) virtual void SetNuisanceParameters(const RooArgSet& /*set*/) { cout << "DEPRECATED, use ModelConfig" << endl; } // set the size of the test (rate of Type I error) ( Eg. 0.05 for a 95% Confidence Interval) virtual void SetTestSize(Double_t size) {fSize = size;} // set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval) virtual void SetConfidenceLevel(Double_t cl) {fSize = 1.-cl;} virtual void SetModel(const ModelConfig &); RooAbsData* GetPointsToScan() { if(!fPointsToTest) CreateParameterPoints(); return fPointsToTest; } ConfidenceBelt* GetConfidenceBelt() {return fConfBelt;} void UseAdaptiveSampling(bool flag=true){fAdaptiveSampling=flag;} void AdditionalNToysFactor(double fact){fAdditionalNToysFactor = fact;} void SetNBins(Int_t bins) {fNbins = bins;} void FluctuateNumDataEntries(bool flag=true){fFluctuateData = flag;} void SaveBeltToFile(bool flag=true){ fSaveBeltToFile = flag; if(flag) fCreateBelt = true; } void CreateConfBelt(bool flag=true){fCreateBelt = flag;} // Returns instance of TestStatSampler. Use to change properties of // TestStatSampler, e.g. GetTestStatSampler.SetTestSize(Double_t size); TestStatSampler* GetTestStatSampler() const; private: // initializes fPointsToTest data member (mutable) void CreateParameterPoints() const; // initializes fTestStatSampler data member (mutable) void CreateTestStatSampler() const; Double_t fSize; // size of the test (eg. specified rate of Type I error) ModelConfig &fModel; RooAbsData & fData; // data set /* RooAbsPdf * fPdf; // common PDF RooArgSet fPOI; // RooArgSet specifying parameters of interest for interval RooArgSet fNuisParams;// RooArgSet specifying nuisance parameters for interval RooArgSet fObservables;// RooArgSet specifying nuisance parameters for interval */ mutable ToyMCSampler* fTestStatSampler; // the test statistic sampler mutable RooAbsData* fPointsToTest; // points to perform the construction mutable ConfidenceBelt* fConfBelt; Bool_t fAdaptiveSampling; // controls use of adaptive sampling algorithm Double_t fAdditionalNToysFactor; // give user ability to ask for more toys Int_t fNbins; // number of samples per variable Bool_t fFluctuateData; // tell ToyMCSampler to fluctuate number of entries in dataset Bool_t fDoProfileConstruction; // instead of full construction over nuisance parametrs, do profile Bool_t fSaveBeltToFile; // controls use if ConfidenceBelt should be saved to a TFile Bool_t fCreateBelt; // controls use if ConfidenceBelt should be saved to a TFile protected: ClassDef(FeldmanCousins,1) // Interface for tools setting limits (producing confidence intervals) }; } #endif