FeldmanCousins.h

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// @(#)root/roostats:$Id$
// 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
 
 
#include "Rtypes.h"
 
#include "RooStats/IntervalCalculator.h"
 
#include "RooStats/ToyMCSampler.h"
#include "RooStats/ConfidenceBelt.h"
#include "RooStats/PointSetInterval.h"
 
#include "RooAbsData.h"
#include "RooAbsPdf.h"
#include "RooArgSet.h"
 
class RooAbsData;
 
namespace RooStats {
 
   class ConfInterval;
 
   class FeldmanCousins : public IntervalCalculator {
 
   public:
 
     /// Common constructor
     FeldmanCousins(RooAbsData& data, ModelConfig& model);
 
     ~FeldmanCousins() override;
 
      /// Main interface to get a ConfInterval (will be a PointSetInterval)
      PointSetInterval* GetInterval() const override;
 
      /// Get the size of the test (eg. rate of Type I error)
      double Size() const override {return fSize;}
      /// Get the Confidence level for the test
      double ConfidenceLevel()  const override {return 1.-fSize;}
      /// Set the DataSet
      void SetData(RooAbsData& /*data*/) override {
         std::cout << "DEPRECATED, set data in constructor" << std::endl;
      }
 
      /// User-defined set of points to test
      void SetParameterPointsToTest(RooAbsData& pointsToTest) {
         fPointsToTest = &pointsToTest;
      }
 
      /// User-defined set of points to test
      void SetPOIPointsToTest(RooAbsData& poiToTest) {
         fPOIToTest = &poiToTest;
      }
 
      /// set the size of the test (rate of Type I error) ( Eg. 0.05 for a 95% Confidence Interval)
      void SetTestSize(double size) override {fSize = size;}
      /// set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval)
      void SetConfidenceLevel(double cl) override {fSize = 1.-cl;}
 
      void SetModel(const ModelConfig &) override;
 
      RooAbsData* GetPointsToScan() {
   if(!fPointsToTest) CreateParameterPoints();
   return fPointsToTest;
      }
 
      /// Get the confidence belt. This requires that CreateConfBelt() has been set.
      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 size);
      TestStatSampler* GetTestStatSampler() const;
 
 
   private:
 
      /// initializes fPointsToTest data member (mutable)
      void CreateParameterPoints() const;
 
      /// initializes fTestStatSampler data member (mutable)
      void CreateTestStatSampler() const;
 
      double fSize;     ///< size of the test (eg. specified rate of Type I error)
      ModelConfig &fModel;
      RooAbsData & fData; ///< data set
 
      mutable ToyMCSampler* fTestStatSampler; ///< the test statistic sampler
      mutable RooAbsData* fPointsToTest;      ///< points to perform the construction
      mutable RooAbsData* fPOIToTest;         ///< value of POI points to perform the construction
      mutable ConfidenceBelt* fConfBelt;
      bool fAdaptiveSampling;               ///< controls use of adaptive sampling algorithm
      double fAdditionalNToysFactor;        ///< give user ability to ask for more toys
      Int_t fNbins;                           ///< number of samples per variable
      bool fFluctuateData;                  ///< tell ToyMCSampler to fluctuate number of entries in dataset
      bool fDoProfileConstruction;          ///< instead of full construction over nuisance parameters, do profile
      bool fSaveBeltToFile;                 ///< controls use if ConfidenceBelt should be saved to a TFile
      bool fCreateBelt;                     ///< controls use if ConfidenceBelt should be saved to a TFile
 
   protected:
      ClassDefOverride(FeldmanCousins,0)   // Interface for tools setting limits (producing confidence intervals)
   };
}
 
 
#endif