namespace RooStats::HistFactory

Class RooBarlowBeestonLL implements the profile likelihood estimator for a given likelihood and set of parameters of interest. The value return by RooBarlowBeestonLL is the input likelihood nll minimized w.r.t all nuisance parameters (which are all parameters except for those listed in the constructor) minus the -log(L) of the best fit. Note that this function is slow to evaluate as a MIGRAD minimization step is executed for each function evaluation

Function Members (Methods)

public:

string	channelNameFromPdf(RooAbsPdf* channelPdf)
void	FactorizeHistFactoryPdf(const RooArgSet&, RooAbsPdf&, RooArgList&, RooArgList&)
void	FitModel(RooWorkspace*, string data_name = "obsData")
void	FitModelAndPlot(const string& measurementName, const string& fileNamePrefix, RooWorkspace, string, string, TFile, FILE*)
void	FormatFrameForLikelihood(RooPlot* frame, string xTitle = std::string("#sigma / #sigma_{SM}"), string yTitle = std::string("-log likelihood"))
vector<RooStats::HistFactory::EstimateSummary>	GetChannelEstimateSummaries(RooStats::HistFactory::Measurement& measurement, RooStats::HistFactory::Channel& channel)
void	getDataValuesForObservables(map<std::string,std::vector<double> >& ChannelBinDataMap, RooAbsData* data, RooAbsPdf* simPdf)
int	getStatUncertaintyConstraintTerm(RooArgList* constraints, RooRealVar* gamma_stat, RooAbsReal& pois_mean, RooRealVar& tau)
bool	getStatUncertaintyFromChannel(RooAbsPdf* channel, ParamHistFunc& paramfunc, RooArgList gammaList)
RooAbsPdf*	getSumPdfFromChannel(RooAbsPdf* channel)
RooWorkspace*	MakeModelAndMeasurementFast(RooStats::HistFactory::Measurement& measurement)

namespace RooStats::HistFactory

Function Members (Methods)

Data Members

Class Charts

Function documentation