Namespaces | |
| namespace | Constraint |
| namespace | Detail |
Classes | |
| class | Asimov |
| TODO Here, we are missing some documentation. More... | |
| class | Channel |
| This class encapsulates all information for the statistical interpretation of one experiment. More... | |
| class | ConfigParser |
| TODO Add documentation. More... | |
| class | Data |
| class | FlexibleInterpVar |
| class | hf_exc |
| class | HistFactoryNavigation |
| class | HistoFactor |
| Configuration for an *un*constrained, coherent shape variation of affected samples. More... | |
| class | HistogramUncertaintyBase |
| ////////////////////////////////////////////////////////////////////////////////////////////Base class to store the up and down variations for histogram uncertainties. More... | |
| class | HistoSys |
| Configuration for a constrained, coherent shape variation of affected samples. More... | |
| class | HistoToWorkspaceFactoryFast |
| This class provides helper functions for creating likelihood models from histograms. More... | |
| class | HistRef |
| Internal class wrapping an histogram and managing its content. More... | |
| class | LinInterpVar |
| RooAbsReal that does piecewise-linear interpolations. More... | |
| class | Measurement |
| The RooStats::HistFactory::Measurement class can be used to construct a model by combining multiple RooStats::HistFactory::Channel objects. More... | |
| class | NormFactor |
| Configuration for an un- constrained overall systematic to scale sample normalisations. More... | |
| class | OverallSys |
| Configuration for a constrained overall systematic to scale sample normalisations. More... | |
| class | PreprocessFunction |
| class | RooBarlowBeestonLL |
| Class RooBarlowBeestonLL implements the profile likelihood estimator for a given likelihood and set of parameters of interest. More... | |
| class | Sample |
| class | ShapeFactor |
| *Un*constrained bin-by-bin variation of affected histogram. More... | |
| class | ShapeSys |
| Constrained bin-by-bin variation of affected histogram. More... | |
| class | StatError |
| Statistical error of Monte Carlo predictions. More... | |
| class | StatErrorConfig |
| Configuration to automatically assign nuisance parameters for the statistical error of the Monte Carlo simulations. More... | |
Variables | |
| Channel | BadChannel |
| void RooStats::HistFactory::fastDriver | ( | std::string const & | input, |
| HistoToWorkspaceFactoryFast::Configuration const & | cfg ) |
Definition at line 28 of file hist2workspace.cxx.
| void RooStats::HistFactory::FitModel | ( | RooWorkspace * | combined, |
| std::string | data_name = "obsData" ) |
Definition at line 410 of file MakeModelAndMeasurementsFast.cxx.
| void RooStats::HistFactory::FitModelAndPlot | ( | const std::string & | measurementName, |
| const std::string & | fileNamePrefix, | ||
| RooWorkspace & | combined, | ||
| std::string | channel, | ||
| std::string | data_name, | ||
| TFile & | outFile, | ||
| std::ostream & | tableStream ) |
Definition at line 271 of file MakeModelAndMeasurementsFast.cxx.
| void RooStats::HistFactory::FormatFrameForLikelihood | ( | RooPlot * | frame, |
| std::string | xTitle = std::string("#sigma / #sigma_{SM}"), | ||
| std::string | yTitle = std::string("-log likelihood") ) |
Definition at line 439 of file MakeModelAndMeasurementsFast.cxx.
| RooFit::OwningPtr< RooWorkspace > RooStats::HistFactory::MakeModelAndMeasurementFast | ( | RooStats::HistFactory::Measurement & | measurement, |
| HistoToWorkspaceFactoryFast::Configuration const & | cfg = {} ) |
| Channel RooStats::HistFactory::BadChannel |
Definition at line 44 of file Channel.cxx.