// @(#)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_DebuggingSampler
#define ROOSTATS_DebuggingSampler
//_________________________________________________
/*
BEGIN_HTML
DebuggingSampler is a simple implementation of the DistributionCreator interface used for debugging.
The sampling distribution is uniformly random between [0,1] and is INDEPENDENT of the data. So it is not useful
for true statistical tests, but it is useful for debugging.
END_HTML
*/
//
#ifndef ROOT_Rtypes
#include "Rtypes.h"
#endif
#include
#include "RooStats/TestStatSampler.h"
#include "RooStats/SamplingDistribution.h"
#include "RooRealVar.h"
#include "TRandom.h"
namespace RooStats {
class DebuggingSampler: public TestStatSampler {
public:
DebuggingSampler() {
fTestStatistic = new RooRealVar("UniformTestStatistic","UniformTestStatistic",0,0,1);
fRand = new TRandom();
}
virtual ~DebuggingSampler() {
delete fRand;
delete fTestStatistic;
}
// Main interface to get a ConfInterval, pure virtual
virtual SamplingDistribution* GetSamplingDistribution(RooArgSet& paramsOfInterest) {
paramsOfInterest = paramsOfInterest; // avoid warning
// normally this method would be complex, but here it is simple for debugging
std::vector testStatVec;
for(Int_t i=0; i<1000; ++i){
testStatVec.push_back( fRand->Uniform() );
}
return new SamplingDistribution("UniformSamplingDist", "for debugging", testStatVec );
}
// Main interface to evaluate the test statistic on a dataset
virtual Double_t EvaluateTestStatistic(RooAbsData& /*data*/, RooArgSet& /*paramsOfInterest*/) {
// data = data; // avoid warning
// paramsOfInterest = paramsOfInterest; // avoid warning
return fRand->Uniform();
}
// Get the TestStatistic
virtual TestStatistic* GetTestStatistic() const {
// TODO change to Roo... notifications
std::cout << "GetTestStatistic() IS NOT IMPLEMENTED FOR THIS SAMPLER. Returning NULL." << std::endl;
return NULL; /*fTestStatistic;*/
}
// Get the Confidence level for the test
virtual Double_t ConfidenceLevel() const {return 1.-fSize;}
// Common Initialization
virtual void Initialize(RooAbsArg& /* testStatistic */, RooArgSet& /* paramsOfInterest */, RooArgSet& /* nuisanceParameters */ ) {
}
// Set the Pdf, add to the the workspace if not already there
virtual void SetPdf(RooAbsPdf&) {}
// specify the parameters of interest in the interval
virtual void SetParameters(RooArgSet&) {}
// specify the nuisance parameters (eg. the rest of the parameters)
virtual void SetNuisanceParameters(const RooArgSet&) {}
// specify the values of parameters used when evaluating test statistic
virtual void SetParametersForTestStat(const RooArgSet& ) {}
// specify the conditional observables
virtual void SetGlobalObservables(const RooArgSet& ) {}
// 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;}
// Set the TestStatistic (want the argument to be a function of the data & parameter points
virtual void SetTestStatistic(TestStatistic* /*testStatistic*/) {
// TODO change to Roo... notifications
std::cout << "SetTestStatistic(...) IS NOT IMPLEMENTED FOR THIS SAMPLER" << std::endl;
}
private:
Double_t fSize;
RooRealVar* fTestStatistic;
TRandom* fRand;
protected:
ClassDef(DebuggingSampler,1) // A simple implementation of the DistributionCreator interface
};
}
#endif