ModelConfig is a simple class that holds configuration information specifying how a model should be used in the context of various RooStats tools.

A single model can be used in different ways, and this class should carry all that is needed to specify how it should be used. ModelConfig requires a workspace to be set.

Definition at line 52 of file ModelConfig.h.

Public Member Functions
	ModelConfig (RooWorkspace *ws=0)

	ModelConfig (const char name, RooWorkspace ws=0)

	ModelConfig (const char name, const char title, RooWorkspace *ws=0)

virtual ModelConfig *	Clone (const char *name="") const
	clone More...

virtual void	SetWS (RooWorkspace &ws)
	set a workspace that owns all the necessary components for the analysis More...

virtual void	SetWorkspace (RooWorkspace &ws)

virtual void	SetProtoData (RooAbsData &data)
	Set the proto DataSet, add to the the workspace if not already there. More...

virtual void	SetPdf (const RooAbsPdf &pdf)
	Set the Pdf, add to the the workspace if not already there. More...

virtual void	SetPriorPdf (const RooAbsPdf &pdf)
	Set the Prior Pdf, add to the the workspace if not already there. More...

virtual void	SetParameters (const RooArgSet &set)
	specify the parameters of interest in the interval More...

virtual void	SetParametersOfInterest (const RooArgSet &set)

virtual void	SetParameters (const char *argList)
	specify the parameters of interest through a list of comma-separated arguments already in the workspace More...

virtual void	SetParametersOfInterest (const char *argList)

virtual void	SetNuisanceParameters (const RooArgSet &set)
	specify the nuisance parameters (e.g. the rest of the parameters) More...

virtual void	SetNuisanceParameters (const char *argList)
	specify the nuisance parameters through a list of comma-separated arguments already in the workspace More...

virtual void	SetConstraintParameters (const RooArgSet &set)
	specify the constraint parameters More...

virtual void	SetConstraintParameters (const char *argList)
	specify the constraint parameters through a list of comma-separated arguments already in the workspace More...

virtual void	SetObservables (const RooArgSet &set)
	specify the observables More...

virtual void	SetObservables (const char *argList)
	specify the observables through a list of comma-separated arguments already in the workspace More...

virtual void	SetConditionalObservables (const RooArgSet &set)
	specify the conditional observables More...

virtual void	SetConditionalObservables (const char *argList)
	specify the conditional observables through a list of comma-separated arguments already in the workspace More...

virtual void	SetGlobalObservables (const RooArgSet &set)
	specify the global observables More...

virtual void	SetGlobalObservables (const char *argList)
	specify the global observables through a list of comma-separated arguments already in the workspace More...

virtual void	SetSnapshot (const RooArgSet &set)
	set parameter values for a particular hypothesis if using a common PDF by saving a snapshot in the workspace More...

virtual void	SetPdf (const char *name)
	specify the name of the PDF in the workspace to be used More...

virtual void	SetPriorPdf (const char *name)
	specify the name of the PDF in the workspace to be used More...

virtual void	SetProtoData (const char *name)
	specify the name of the dataset in the workspace to be used More...

RooAbsPdf *	GetPdf () const
	get model PDF (return NULL if pdf has not been specified or does not exist) More...

const RooArgSet *	GetParametersOfInterest () const
	get RooArgSet containing the parameter of interest (return NULL if not existing) More...

const RooArgSet *	GetNuisanceParameters () const
	get RooArgSet containing the nuisance parameters (return NULL if not existing) More...

const RooArgSet *	GetConstraintParameters () const
	get RooArgSet containing the constraint parameters (return NULL if not existing) More...

RooAbsPdf *	GetPriorPdf () const
	get parameters prior pdf (return NULL if not existing) More...

const RooArgSet *	GetObservables () const
	get RooArgSet for observables (return NULL if not existing) More...

const RooArgSet *	GetConditionalObservables () const
	get RooArgSet for conditional observables (return NULL if not existing) More...

const RooArgSet *	GetGlobalObservables () const
	get RooArgSet for global observables (return NULL if not existing) More...

RooAbsData *	GetProtoData () const
	get Proto data set (return NULL if not existing) More...

const RooArgSet *	GetSnapshot () const
	get RooArgSet for parameters for a particular hypothesis (return NULL if not existing) More...

void	LoadSnapshot () const

RooWorkspace *	GetWS () const

RooWorkspace *	GetWorkspace () const
	alias for GetWS() More...

void	GuessObsAndNuisance (const RooAbsData &data)
	guesses Observables and ParametersOfInterest if not already set More...

virtual void	Print (Option_t *option="") const
	overload the print method More...

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TString &name, const TString &title)

	TNamed (const TNamed &named)

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator. More...

virtual	~TNamed ()

virtual void	Clear (Option_t *option="")
	Set name and title to empty strings (""). More...

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects. More...

virtual void	Copy (TObject &named) const
	Copy this to obj. More...

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer. More...

virtual const char *	GetName () const
	Returns name of object. More...

virtual const char *	GetTitle () const
	Returns title of object. More...

virtual ULong_t	Hash () const
	Return hash value for this object. More...

virtual Bool_t	IsSortable () const

virtual void	SetName (const char *name)
	Change (i.e. More...

virtual void	SetNameTitle (const char name, const char title)
	Change (i.e. set) all the TNamed parameters (name and title). More...

virtual void	SetTitle (const char *title="")
	Change (i.e. set) the title of the TNamed. More...

virtual void	ls (Option_t *option="") const
	List TNamed name and title. More...

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject. More...

Public Member Functions inherited from TObject
	TObject ()

	TObject (const TObject &object)
	TObject copy ctor. More...

TObject &	operator= (const TObject &rhs)
	TObject assignment operator. More...

virtual	~TObject ()
	TObject destructor. More...

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad. More...

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action. More...

virtual const char *	ClassName () const
	Returns name of class to which the object belongs. More...

virtual void	Delete (Option_t *option="")
	Delete this object. More...

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object. More...

virtual void	Draw (Option_t *option="")
	Default Draw method for all objects. More...

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs. More...

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current pad. More...

virtual void	Dump () const
	Dump contents of object on stdout. More...

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g. More...

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray. More...

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py). More...

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes. More...

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes. More...

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object. More...

virtual UInt_t	GetUniqueID () const
	Return the unique object id. More...

virtual const char *	GetIconName () const
	Returns mime type name of object. More...

virtual Option_t *	GetOption () const

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py). More...

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out. More...

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname". More...

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl. More...

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas. More...

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory). More...

Bool_t	IsOnHeap () const

Bool_t	IsZombie () const

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification. More...

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself. More...

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list. More...

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory. More...

virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list. More...

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename. More...

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out". More...

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object. More...

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id. More...

virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory. More...

void *	operator new (size_t sz)

void *	operator new[] (size_t sz)

void *	operator new (size_t sz, void *vp)

void *	operator new[] (size_t sz, void *vp)

void	operator delete (void *ptr)
	Operator delete. More...

void	operator delete[] (void *ptr)
	Operator delete []. More...

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f. More...

void	SetBit (UInt_t f)

void	ResetBit (UInt_t f)

Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

void	InvertBit (UInt_t f)

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message. More...

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message. More...

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message. More...

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message. More...

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message. More...

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...

void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete. More...

Protected Member Functions
Bool_t	SetHasOnlyParameters (const RooArgSet &set, const char *errorMsgPrefix=0)
	helper function to check that content of a given set is exclusively parameters More...

void	DefineSetInWS (const char *name, const RooArgSet &set)
	helper functions to define a set in the WS More...

void	ImportPdfInWS (const RooAbsPdf &pdf)
	internal function to import Pdf in WS More...

void	ImportDataInWS (RooAbsData &data)
	internal function to import data in WS More...

Protected Member Functions inherited from TObject
void	MakeZombie ()

virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected). More...

Protected Attributes
TRef	fRefWS

std::string	fWSName
	WS reference used in the file. More...

std::string	fPdfName
	name of the WS More...

std::string	fDataName
	name of PDF in workspace More...

std::string	fPOIName
	name of data set in workspace More...

std::string	fNuisParamsName
	name for RooArgSet specifying parameters of interest More...

std::string	fConstrParamsName
	name for RooArgSet specifying nuisance parameters More...

std::string	fPriorPdfName
	name for RooArgSet specifying constrained parameters More...

std::string	fConditionalObsName
	name for RooAbsPdf specifying a prior on the parameters More...

std::string	fGlobalObsName
	name for RooArgSet specifying conditional observables More...

std::string	fProtoDataName
	name for RooArgSet specifying global observables More...

std::string	fSnapshotName
	name for RooArgSet specifying dataset that should be used as protodata More...

std::string	fObservablesName
	name for RooArgSet that specifies a particular hypothesis More...

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

Additional Inherited Members
Public Types inherited from TObject
enum	EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) }

enum	{ kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }

Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag. More...

static void	SetDtorOnly (void *obj)
	Set destructor only flag. More...

static Bool_t	GetObjectStat ()
	Get status of object stat flag. More...

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable. More...

#include <RooStats/ModelConfig.h>

Inheritance diagram for RooStats::ModelConfig:

[legend]

Constructor & Destructor Documentation

RooStats::ModelConfig::ModelConfig ( RooWorkspace * ws = 0 )

inline

Definition at line 56 of file ModelConfig.h.

Referenced by Clone().

RooStats::ModelConfig::ModelConfig	(	const char *	name,
		RooWorkspace *	ws = `0`
	)

inline

Definition at line 62 of file ModelConfig.h.

RooStats::ModelConfig::ModelConfig	(	const char *	name,
		const char *	title,
		RooWorkspace *	ws = `0`
	)

inline

Definition at line 68 of file ModelConfig.h.

Member Function Documentation

virtual ModelConfig* RooStats::ModelConfig::Clone ( const char * name = "" ) const

inlinevirtual

clone

Reimplemented from TNamed.

Definition at line 76 of file ModelConfig.h.

Referenced by StandardFrequentistDiscovery(), and StandardHypoTestDemo().

void RooStats::ModelConfig::DefineSetInWS	(	const char *	name,
		const RooArgSet &	set
	)

protected

helper functions to define a set in the WS

Definition at line 218 of file ModelConfig.cxx.

Referenced by SetConditionalObservables(), SetConstraintParameters(), SetGlobalObservables(), SetNuisanceParameters(), SetObservables(), and SetParameters().

const RooArgSet* RooStats::ModelConfig::GetConditionalObservables ( ) const

inline

get RooArgSet for conditional observables (return NULL if not existing)

Definition at line 262 of file ModelConfig.h.

Referenced by RooStats::AsymptoticCalculator::MakeAsimovData(), RooStats::MCMCCalculator::SetModel(), RooStats::BayesianCalculator::SetModel(), and RooStats::CombinedCalculator::SetModel().

const RooArgSet* RooStats::ModelConfig::GetConstraintParameters ( ) const

inline

get RooArgSet containing the constraint parameters (return NULL if not existing)

Definition at line 253 of file ModelConfig.h.

const RooArgSet* RooStats::ModelConfig::GetGlobalObservables ( ) const

inline

get RooArgSet for global observables (return NULL if not existing)

Definition at line 265 of file ModelConfig.h.

Referenced by RooStats::AsymptoticCalculator::MakeAsimovData(), OneSidedFrequentistUpperLimitWithBands(), RooStats::HypoTestInverter::RebuildDistributions(), StandardTestStatDistributionDemo(), and TwoSidedFrequentistUpperLimitWithBands().

const RooArgSet* RooStats::ModelConfig::GetNuisanceParameters ( ) const

inline

get RooArgSet containing the nuisance parameters (return NULL if not existing)

Definition at line 250 of file ModelConfig.h.

Referenced by RooStats::FeldmanCousins::CreateParameterPoints(), RooStats::HistFactory::FitModelAndPlot(), RooStats::ProfileInspector::GetListOfProfilePlots(), RooStats::AsymptoticCalculator::MakeAsimovData(), OneSidedFrequentistUpperLimitWithBands(), RooStats::HypoTestInverter::RebuildDistributions(), RooStats::HybridCalculatorOriginal::SetAlternateModel(), RooStats::MCMCCalculator::SetModel(), RooStats::BayesianCalculator::SetModel(), RooStats::CombinedCalculator::SetModel(), RooStats::HybridCalculatorOriginal::SetNullModel(), RooStats::HypoTestCalculatorGeneric::SetupSampler(), StandardBayesianMCMCDemo(), StandardBayesianNumericalDemo(), StandardHistFactoryPlotsWithCategories(), StandardHypoTestDemo(), StandardTestStatDistributionDemo(), and TwoSidedFrequentistUpperLimitWithBands().

const RooArgSet* RooStats::ModelConfig::GetObservables ( ) const

inline

get RooArgSet for observables (return NULL if not existing)

Definition at line 259 of file ModelConfig.h.

Referenced by RooStats::HistFactory::HistFactoryNavigation::_GetNodes(), RooStats::HypoTestInverter::CheckInputModels(), ClassImp(), RooStats::FeldmanCousins::CreateTestStatSampler(), RooStats::FactorizePdf(), RooStats::FeldmanCousins::GetInterval(), RooStats::HistFactory::HistFactoryNavigation::HistFactoryNavigation(), RooStats::AsymptoticCalculator::Initialize(), RooStats::AsymptoticCalculator::MakeAsimovData(), RooStats::MakeNuisancePdf(), RooStats::MakeUnconstrainedPdf(), OneSidedFrequentistUpperLimitWithBands(), RooStats::HypoTestInverter::RebuildDistributions(), StandardHistFactoryPlotsWithCategories(), StandardHypoTestDemo(), StandardTestStatDistributionDemo(), and TwoSidedFrequentistUpperLimitWithBands().

const RooArgSet* RooStats::ModelConfig::GetParametersOfInterest ( ) const

inline

get RooArgSet containing the parameter of interest (return NULL if not existing)

Definition at line 247 of file ModelConfig.h.

Referenced by ClassImp(), RooStats::FeldmanCousins::CreateParameterPoints(), RooStats::FeldmanCousins::CreateTestStatSampler(), RooStats::HistFactory::FitModel(), RooStats::HistFactory::FitModelAndPlot(), RooStats::AsymptoticCalculator::GetHypoTest(), RooStats::NeymanConstruction::GetInterval(), RooStats::ProfileInspector::GetListOfProfilePlots(), RooStats::HypoTestInverter::GetVariableToScan(), RooStats::AsymptoticCalculator::Initialize(), RooStats::AsymptoticCalculator::MakeAsimovData(), OneSidedFrequentistUpperLimitWithBands(), RooStats::HypoTestInverter::RebuildDistributions(), RooStats::HypoTestInverter::RunOnePoint(), RooStats::MCMCCalculator::SetModel(), RooStats::BayesianCalculator::SetModel(), RooStats::CombinedCalculator::SetModel(), StandardBayesianMCMCDemo(), StandardBayesianNumericalDemo(), StandardFeldmanCousinsDemo(), StandardFrequentistDiscovery(), StandardHistFactoryPlotsWithCategories(), StandardHypoTestDemo(), StandardProfileLikelihoodDemo(), StandardTestStatDistributionDemo(), and TwoSidedFrequentistUpperLimitWithBands().

RooAbsPdf* RooStats::ModelConfig::GetPdf ( ) const

inline

get model PDF (return NULL if pdf has not been specified or does not exist)

Definition at line 244 of file ModelConfig.h.

Referenced by RooStats::HistFactory::HistFactoryNavigation::_GetNodes(), RooStats::HypoTestInverter::CheckInputModels(), ClassImp(), RooStats::FeldmanCousins::CreateParameterPoints(), RooStats::FeldmanCousins::CreateTestStatSampler(), RooStats::HistFactory::FitModel(), RooStats::HistFactory::FitModelAndPlot(), RooStats::AsymptoticCalculator::GetHypoTest(), RooStats::ProfileInspector::GetListOfProfilePlots(), RooStats::HistFactory::HistFactoryNavigation::HistFactoryNavigation(), RooStats::AsymptoticCalculator::Initialize(), RooStats::AsymptoticCalculator::MakeAsimovData(), RooStats::MakeNuisancePdf(), RooStats::MakeUnconstrainedPdf(), OneSidedFrequentistUpperLimitWithBands(), RooStats::ProfileLikelihoodCalculator::ProfileLikelihoodCalculator(), RooStats::HypoTestInverter::RebuildDistributions(), RooStats::HybridCalculatorOriginal::SetAlternateModel(), RooStats::MCMCCalculator::SetModel(), RooStats::BayesianCalculator::SetModel(), RooStats::CombinedCalculator::SetModel(), RooStats::HybridCalculatorOriginal::SetNullModel(), RooStats::HypoTestCalculatorGeneric::SetupSampler(), StandardBayesianNumericalDemo(), StandardFeldmanCousinsDemo(), StandardFrequentistDiscovery(), StandardHistFactoryPlotsWithCategories(), StandardHypoTestDemo(), StandardTestStatDistributionDemo(), and TwoSidedFrequentistUpperLimitWithBands().

RooAbsPdf* RooStats::ModelConfig::GetPriorPdf ( ) const

inline

get parameters prior pdf (return NULL if not existing)

Definition at line 256 of file ModelConfig.h.

Referenced by RooStats::HybridCalculatorOriginal::SetAlternateModel(), RooStats::MCMCCalculator::SetModel(), RooStats::BayesianCalculator::SetModel(), RooStats::HybridCalculatorOriginal::SetNullModel(), and StandardHypoTestDemo().

RooAbsData* RooStats::ModelConfig::GetProtoData ( ) const

inline

get Proto data set (return NULL if not existing)

Definition at line 268 of file ModelConfig.h.

const RooArgSet * RooStats::ModelConfig::GetSnapshot ( ) const

get RooArgSet for parameters for a particular hypothesis (return NULL if not existing)

Definition at line 188 of file ModelConfig.cxx.

Referenced by RooStats::AsymptoticCalculator::AsymptoticCalculator(), RooStats::HypoTestInverter::CheckInputModels(), ClassImp(), RooStats::AsymptoticCalculator::GetHypoTest(), RooStats::AsymptoticCalculator::Initialize(), RooStats::HypoTestInverter::RebuildDistributions(), RooStats::CombinedCalculator::SetModel(), and StandardHypoTestDemo().

RooWorkspace* RooStats::ModelConfig::GetWorkspace ( ) const

inline

alias for GetWS()

Definition at line 277 of file ModelConfig.h.

RooWorkspace * RooStats::ModelConfig::GetWS ( ) const

void RooStats::ModelConfig::GuessObsAndNuisance ( const RooAbsData & data )

guesses Observables and ParametersOfInterest if not already set

Definition at line 32 of file ModelConfig.cxx.

Referenced by ClassImp(), RooStats::FeldmanCousins::GetInterval(), and topDriver().

void RooStats::ModelConfig::ImportDataInWS ( RooAbsData & data )

protected

internal function to import data in WS

Definition at line 253 of file ModelConfig.cxx.

Referenced by SetProtoData().

void RooStats::ModelConfig::ImportPdfInWS ( const RooAbsPdf & pdf )

protected

internal function to import Pdf in WS

Definition at line 241 of file ModelConfig.cxx.

Referenced by SetPdf(), and SetPriorPdf().

void RooStats::ModelConfig::LoadSnapshot ( ) const

Definition at line 212 of file ModelConfig.cxx.

Referenced by RooStats::HypoTestCalculatorGeneric::SetupSampler().

void RooStats::ModelConfig::Print ( Option_t * option = "" ) const

virtual

overload the print method

Reimplemented from TNamed.

Definition at line 90 of file ModelConfig.cxx.

Referenced by StandardTestStatDistributionDemo(), and TwoSidedFrequentistUpperLimitWithBands().

virtual void RooStats::ModelConfig::SetConditionalObservables ( const RooArgSet & set )

inlinevirtual

specify the conditional observables

Definition at line 169 of file ModelConfig.h.

Referenced by SetConditionalObservables().

virtual void RooStats::ModelConfig::SetConditionalObservables ( const char * argList )

inlinevirtual

specify the conditional observables through a list of comma-separated arguments already in the workspace

Definition at line 176 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetConstraintParameters ( const RooArgSet & set )

inlinevirtual

specify the constraint parameters

Definition at line 143 of file ModelConfig.h.

Referenced by SetConstraintParameters().

virtual void RooStats::ModelConfig::SetConstraintParameters ( const char * argList )

inlinevirtual

specify the constraint parameters through a list of comma-separated arguments already in the workspace

Definition at line 150 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetGlobalObservables ( const RooArgSet & set )

inlinevirtual

specify the global observables

Definition at line 182 of file ModelConfig.h.

Referenced by ClassImp(), rs101_limitexample(), and SetGlobalObservables().

virtual void RooStats::ModelConfig::SetGlobalObservables ( const char * argList )

inlinevirtual

specify the global observables through a list of comma-separated arguments already in the workspace

Definition at line 199 of file ModelConfig.h.

Bool_t RooStats::ModelConfig::SetHasOnlyParameters	(	const RooArgSet &	set,
		const char *	errorMsgPrefix = `0`
	)

protected

helper function to check that content of a given set is exclusively parameters

Definition at line 266 of file ModelConfig.cxx.

Referenced by SetConditionalObservables(), SetConstraintParameters(), SetGlobalObservables(), SetNuisanceParameters(), SetObservables(), SetParameters(), and SetParametersOfInterest().

virtual void RooStats::ModelConfig::SetNuisanceParameters ( const RooArgSet & set )

inlinevirtual

specify the nuisance parameters (e.g. the rest of the parameters)

Definition at line 130 of file ModelConfig.h.

Referenced by FourBinInstructional(), rs101_limitexample(), and SetNuisanceParameters().

virtual void RooStats::ModelConfig::SetNuisanceParameters ( const char * argList )

inlinevirtual

specify the nuisance parameters through a list of comma-separated arguments already in the workspace

Definition at line 137 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetObservables ( const RooArgSet & set )

inlinevirtual

specify the observables

Definition at line 156 of file ModelConfig.h.

Referenced by ClassImp(), IntervalExamples(), rs101_limitexample(), rs401c_FeldmanCousins(), and SetObservables().

virtual void RooStats::ModelConfig::SetObservables ( const char * argList )

inlinevirtual

specify the observables through a list of comma-separated arguments already in the workspace

Definition at line 163 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetParameters ( const RooArgSet & set )

inlinevirtual

specify the parameters of interest in the interval

Definition at line 109 of file ModelConfig.h.

Referenced by SetParameters(), and SetParametersOfInterest().

virtual void RooStats::ModelConfig::SetParameters ( const char * argList )

inlinevirtual

specify the parameters of interest through a list of comma-separated arguments already in the workspace

Definition at line 121 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetParametersOfInterest ( const RooArgSet & set )

inlinevirtual

Definition at line 115 of file ModelConfig.h.

Referenced by ClassImp(), FourBinInstructional(), IntervalExamples(), MultivariateGaussianTest(), rs101_limitexample(), rs401c_FeldmanCousins(), rs401d_FeldmanCousins(), and topDriver().

virtual void RooStats::ModelConfig::SetParametersOfInterest ( const char * argList )

inlinevirtual

Definition at line 125 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetPdf ( const RooAbsPdf & pdf )

inlinevirtual

Set the Pdf, add to the the workspace if not already there.

Definition at line 97 of file ModelConfig.h.

Referenced by ClassImp(), DoHypothesisTest(), FourBinInstructional(), IntervalExamples(), MultivariateGaussianTest(), rs101_limitexample(), rs401c_FeldmanCousins(), rs401d_FeldmanCousins(), and topDriver().

virtual void RooStats::ModelConfig::SetPdf ( const char * name )

inlinevirtual

specify the name of the PDF in the workspace to be used

Definition at line 209 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetPriorPdf ( const RooAbsPdf & pdf )

inlinevirtual

Set the Prior Pdf, add to the the workspace if not already there.

Definition at line 103 of file ModelConfig.h.

Referenced by FourBinInstructional(), IntervalExamples(), and StandardBayesianNumericalDemo().

virtual void RooStats::ModelConfig::SetPriorPdf ( const char * name )

inlinevirtual

specify the name of the PDF in the workspace to be used

Definition at line 219 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetProtoData ( RooAbsData & data )

inlinevirtual

Set the proto DataSet, add to the the workspace if not already there.

Definition at line 91 of file ModelConfig.h.

virtual void RooStats::ModelConfig::SetProtoData ( const char * name )

inlinevirtual

specify the name of the dataset in the workspace to be used

Definition at line 230 of file ModelConfig.h.

void RooStats::ModelConfig::SetSnapshot ( const RooArgSet & set )

virtual

set parameter values for a particular hypothesis if using a common PDF by saving a snapshot in the workspace

Definition at line 174 of file ModelConfig.cxx.

Referenced by ClassImp(), StandardFrequentistDiscovery(), and StandardHypoTestDemo().

virtual void RooStats::ModelConfig::SetWorkspace ( RooWorkspace & ws )

inlinevirtual

Definition at line 88 of file ModelConfig.h.

Referenced by ClassImp(), DoHypothesisTest(), FourBinInstructional(), IntervalExamples(), and rs401d_FeldmanCousins().

void RooStats::ModelConfig::SetWS ( RooWorkspace & ws )

virtual

set a workspace that owns all the necessary components for the analysis

Definition at line 150 of file ModelConfig.cxx.

Referenced by ModelConfig(), and SetWorkspace().

Member Data Documentation

std::string RooStats::ModelConfig::fConditionalObsName

protected

name for RooAbsPdf specifying a prior on the parameters

Definition at line 311 of file ModelConfig.h.

Referenced by GetConditionalObservables(), and SetConditionalObservables().

std::string RooStats::ModelConfig::fConstrParamsName

protected

name for RooArgSet specifying nuisance parameters

Definition at line 308 of file ModelConfig.h.

Referenced by GetConstraintParameters(), and SetConstraintParameters().

std::string RooStats::ModelConfig::fDataName

protected

name of PDF in workspace

Definition at line 304 of file ModelConfig.h.

std::string RooStats::ModelConfig::fGlobalObsName

protected

name for RooArgSet specifying conditional observables

Definition at line 312 of file ModelConfig.h.

Referenced by GetGlobalObservables(), and SetGlobalObservables().

std::string RooStats::ModelConfig::fNuisParamsName

protected

name for RooArgSet specifying parameters of interest

Definition at line 307 of file ModelConfig.h.

Referenced by GetNuisanceParameters(), and SetNuisanceParameters().

std::string RooStats::ModelConfig::fObservablesName

protected

name for RooArgSet that specifies a particular hypothesis

Definition at line 317 of file ModelConfig.h.

Referenced by GetObservables(), and SetObservables().

std::string RooStats::ModelConfig::fPdfName

protected

name of the WS

Definition at line 303 of file ModelConfig.h.

Referenced by GetPdf(), and SetPdf().

std::string RooStats::ModelConfig::fPOIName

protected

name of data set in workspace

Definition at line 305 of file ModelConfig.h.

Referenced by GetParametersOfInterest(), and SetParameters().

std::string RooStats::ModelConfig::fPriorPdfName

protected

name for RooArgSet specifying constrained parameters

Definition at line 309 of file ModelConfig.h.

Referenced by GetPriorPdf(), and SetPriorPdf().

std::string RooStats::ModelConfig::fProtoDataName

protected

name for RooArgSet specifying global observables

Definition at line 313 of file ModelConfig.h.

Referenced by GetProtoData(), and SetProtoData().

TRef RooStats::ModelConfig::fRefWS

protected

Definition at line 299 of file ModelConfig.h.

std::string RooStats::ModelConfig::fSnapshotName

protected

name for RooArgSet specifying dataset that should be used as protodata

Definition at line 315 of file ModelConfig.h.

std::string RooStats::ModelConfig::fWSName

protected

WS reference used in the file.

Definition at line 301 of file ModelConfig.h.

Collaboration diagram for RooStats::ModelConfig:

[legend]

The documentation for this class was generated from the following files:

roofit/roostats/inc/RooStats/ModelConfig.h
roofit/roostats/src/ModelConfig.cxx

Public Member Functions

Protected Member Functions

Protected Attributes

Additional Inherited Members

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation