// @(#)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_CombinedCalculator #define ROOSTATS_CombinedCalculator #ifndef ROOSTATS_IntervalCalculator #include "RooStats/IntervalCalculator.h" #endif #ifndef ROOSTATS_HypoTestCalculator #include "RooStats/HypoTestCalculator.h" #endif #ifndef ROOSTATS_ModelConfig #include "RooStats/ModelConfig.h" #endif #ifndef ROO_ABS_PDF #include "RooAbsPdf.h" #endif #ifndef ROO_ABS_DATA #include "RooAbsData.h" #endif #ifndef ROO_ARG_SET #include "RooArgSet.h" #endif // #ifndef ROO_WORKSPACE // #include "RooWorkspace.h" // #endif //_________________________________________________ /* BEGIN_HTML <p> CombinedCalculator is an interface class for a tools which can produce both RooStats HypoTestResults and ConfIntervals. The interface currently assumes that any such calculator can be configured by specifying: <ul> <li>a model common model (eg. a family of specific models which includes both the null and alternate),</li> <li>a data set, </li> <li>a set of parameters of which specify the null (including values and const/non-const status), </li> <li>a set of parameters of which specify the alternate (including values and const/non-const status),</li> <li>a set of parameters of nuisance parameters (including values and const/non-const status).</li> </ul> The interface allows one to pass the model, data, and parameters via a workspace and then specify them with names. The interface also allows one to pass the model, data, and parameters without a workspace (which is created internally). </p> <p> After configuring the calculator, one only needs to ask GetHypoTest() (which will return a HypoTestResult pointer) or GetInterval() (which will return an ConfInterval pointer). </p> <p> The concrete implementations of this interface should deal with the details of how the nuisance parameters are dealt with (eg. integration vs. profiling) and which test-statistic is used (perhaps this should be added to the interface). </p> <p> The motivation for this interface is that we hope to be able to specify the problem in a common way for several concrete calculators. </p> END_HTML */ // namespace RooStats { class CombinedCalculator : public IntervalCalculator, public HypoTestCalculator { public: CombinedCalculator() : fSize(0.), fPdf(0), fData(0) {} CombinedCalculator(RooAbsData& data, RooAbsPdf& pdf, const RooArgSet& paramsOfInterest, Double_t size = 0.05, const RooArgSet* nullParams = 0, const RooArgSet* altParams = 0, const RooArgSet* nuisParams = 0) : fPdf(&pdf), fData(&data), fPOI(paramsOfInterest) { if (nullParams) fNullParams.add(*nullParams); if (altParams) fAlternateParams.add(*altParams); if (nuisParams) fNuisParams.add(*nuisParams); SetTestSize(size); } // constructor from data and model configuration CombinedCalculator(RooAbsData& data, const ModelConfig& model, Double_t size = 0.05) : fPdf(0), fData(&data) { SetModel(model); SetTestSize(size); } // destructor. virtual ~CombinedCalculator() { } // Main interface to get a ConfInterval, pure virtual virtual ConfInterval* GetInterval() const = 0; // main interface to get a HypoTestResult, pure virtual virtual HypoTestResult* GetHypoTest() const = 0; // 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;} // 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, add to the the workspace if not already there virtual void SetData(RooAbsData & data) { fData = &data; } // set the model (in this case can set only the parameters for the null hypothesis) virtual void SetModel(const ModelConfig & model) { fPdf = model.GetPdf(); if (model.GetParametersOfInterest()) SetParameters(*model.GetParametersOfInterest()); if (model.GetSnapshot()) SetNullParameters(*model.GetSnapshot()); if (model.GetNuisanceParameters()) SetNuisanceParameters(*model.GetNuisanceParameters()); if (model.GetConditionalObservables()) SetConditionalObservables(*model.GetConditionalObservables()); } virtual void SetNullModel( const ModelConfig &) { // to be understood what to do } virtual void SetAlternateModel(const ModelConfig &) { // to be understood what to do } /* specific setting - keep for convenience- some of them could be removed */ // Set the Pdf virtual void SetPdf(RooAbsPdf& pdf) { fPdf = &pdf; } // specify the parameters of interest in the interval virtual void SetParameters(const RooArgSet& set) { fPOI.removeAll(); fPOI.add(set); } // specify the nuisance parameters (eg. the rest of the parameters) virtual void SetNuisanceParameters(const RooArgSet& set) {fNuisParams.removeAll(); fNuisParams.add(set);} // set parameter values for the null if using a common PDF virtual void SetNullParameters(const RooArgSet& set) {fNullParams.removeAll(); fNullParams.add(set);} // set parameter values for the alternate if using a common PDF virtual void SetAlternateParameters(const RooArgSet& set) {fAlternateParams.removeAll(); fAlternateParams.add(set);} // set conditional observables needed for computing the NLL virtual void SetConditionalObservables(const RooArgSet& set) {fConditionalObs.removeAll(); fConditionalObs.add(set);} protected: RooAbsPdf * GetPdf() const { return fPdf; } RooAbsData * GetData() const { return fData; } Double_t fSize; // size of the test (eg. specified rate of Type I error) RooAbsPdf * fPdf; RooAbsData * fData; RooArgSet fPOI; // RooArgSet specifying parameters of interest for interval RooArgSet fNullParams; // RooArgSet specifying null parameters for hypothesis test RooArgSet fAlternateParams; // RooArgSet specifying alternate parameters for hypothesis test // Is it used ???? RooArgSet fNuisParams;// RooArgSet specifying nuisance parameters for interval RooArgSet fConditionalObs; // RooArgSet specifying the conditional observables ClassDef(CombinedCalculator,1) // A base class that is for tools that can be both HypoTestCalculators and IntervalCalculators }; } #endif