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| class | Asimov |
| | TODO Here, we are missing some documentation. More...
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| class | Channel |
| | This class encapsulates all information for the statistical interpretation of one experiment. More...
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| class | ConfigParser |
| | TODO Add documentation. More...
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| 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...
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| 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...
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| 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...
|
