class RooStats::IntervalCalculator

IntervalCalculator is an interface class for a tools which produce RooStats ConfIntervals. The interface currently assumes that any interval calculator can be configured by specifying:

a model,
a data set,
a set of parameters of interest,
a set of nuisance parameters (eg. parameters on which the model depends, but are not of interest), and
a confidence level or size of the test (eg. rate of Type I error).

The interface allows one to pass the model, data, and parameters via a workspace and then specify them with names. The interface will be extended so that one does not need to use a workspace.

After configuring the calculator, one only needs to ask GetInterval, which will return a ConfInterval pointer.

The concrete implementations of this interface should deal with the details of how the nuisance parameters are dealt with (eg. integration vs. profiling) and which test-statistic is used (perhaps this should be added to the interface).

The motivation for this interface is that we hope to be able to specify the problem in a common way for several concrete calculators.

Function Members (Methods)

This is an abstract class, constructors will not be documented.
Look at the header to check for available constructors.

public:

virtual	~IntervalCalculator()
static TClass*	Class()
virtual Double_t	ConfidenceLevel() const
virtual RooStats::ConfInterval*	GetInterval() const
virtual TClass*	IsA() const
RooStats::IntervalCalculator&	operator=(const RooStats::IntervalCalculator&)
virtual void	SetConfidenceLevel(Double_t cl)
virtual void	SetData(RooAbsData&)
virtual void	SetModel(const RooStats::ModelConfig&)
virtual void	SetTestSize(Double_t size)
virtual void	ShowMembers(TMemberInspector&)
virtual Double_t	Size() const
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

virtual ~IntervalCalculator()

{}

ConfInterval* GetInterval() const

 Main interface to get a ConfInterval, pure virtual

Double_t Size() const

 Get the size of the test (eg. rate of Type I error)

Double_t ConfidenceLevel() const

 Get the Confidence level for the test

void SetData(RooAbsData& )

 Set the DataSet ( add to the the workspace if not already there ?)

void SetModel(const RooStats::ModelConfig& )

 Set the Model

void SetTestSize(Double_t size)

 set the size of the test (rate of Type I error) ( e.g. 0.05 for a 95% Confidence Interval)

void SetConfidenceLevel(Double_t cl)

 set the confidence level for the interval (e.g. 0.95 for a 95% Confidence Interval)