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class RooStats::SimpleLikelihoodRatioTestStat: public RooStats::TestStatistic

SimpleLikelihoodRatioTestStat: TestStatistic that returns -log(L[null] / L[alt]) where L is the likelihood.

Function Members (Methods)

Data Members

private:
RooArgSet*fAltParameters
RooAbsPdf*fAltPdf
RooArgSetfConditionalObs
RooArgSet*fDetailedOutput!
boolfDetailedOutputEnabled
boolfFirstEval
RooAbsReal*fNllAlt! transient copy of the alt NLL
RooAbsReal*fNllNull! transient copy of the null NLL
RooArgSet*fNullParameters
RooAbsPdf*fNullPdf
Bool_tfReuseNll
static Bool_tfgAlwaysReuseNll

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation

SimpleLikelihoodRatioTestStat()




 SimpleLikelihoodRatioTestStat(RooAbsPdf& nullPdf, RooAbsPdf& altPdf)






 SimpleLikelihoodRatioTestStat(RooAbsPdf& nullPdf, RooAbsPdf& altPdf, const RooArgSet& nullParameters, const RooArgSet& altParameters)






virtual ~SimpleLikelihoodRatioTestStat()






void SetAlwaysReuseNLL(Bool_t flag)




void SetReuseNLL(Bool_t flag)



{ fReuseNll = flag ; }






void SetNullParameters(const RooArgSet& nullParameters)






void SetAltParameters(const RooArgSet& altParameters)






bool ParamsAreEqual()






void SetConditionalObservables(const RooArgSet& set)


 set the conditional observables which will be used when creating the NLL
 so the pdf's will not be normalized on the conditional observables when computing the NLL




{fConditionalObs.removeAll(); fConditionalObs.add(set);}






Double_t Evaluate(RooAbsData& data, RooArgSet& nullPOI)






void EnableDetailedOutput(bool e = true)



{ fDetailedOutputEnabled = e; fDetailedOutput = NULL; }






const RooArgSet* GetDetailedOutput(void)



{ return fDetailedOutput; }






const TString GetVarName() const