Logo ROOT   6.19/01
Reference Guide
RooStats::HybridCalculatorOriginal Class Reference

HybridCalculatorOriginal class.

This class is deprecated and it is replaced by the HybridCalculator.

This is a fresh rewrite in RooStats of RooStatsCms/LimitCalculator developed by D. Piparo and G. Schott - Universitaet Karlsruhe

The class is born from the need to have an implementation of the CLs method that could take advantage from the RooFit Package. The basic idea is the following:

  • Instantiate an object specifying a signal+background model, a background model and a dataset.
  • Perform toy MC experiments to know the distributions of -2lnQ
  • Calculate the CLsb and CLs values as "integrals" of these distributions.

The class allows the user to input models as RooAbsPdf ( TH1 object could be used by using the RooHistPdf class)

The pdfs must be "extended": for more information please refer to http://roofit.sourceforge.net). The dataset can be entered as a RooAbsData objects.

Unlike the TLimit Class a complete MC generation is performed at each step and not a simple Poisson fluctuation of the contents of the bins. Another innovation is the treatment of the nuisance parameters. The user can input in the constructor nuisance parameters. To include the information that we have about the nuisance parameters a prior PDF (RooAbsPdf) should be specified

Different test statistic can be used (likelihood ratio, number of events or profile likelihood ratio. The default is the likelihood ratio. See the method SetTestStatistic.

The number of toys to be generated is controlled by SetNumberOfToys(n).

The result of the calculations is returned as a HybridResult object pointer.

see also the following interesting references:

  • Alex Read, "Presentation of search results: the CLs technique", Journal of Physics G: Nucl. Part. Phys. 28 2693-2704 (2002). see http://www.iop.org/EJ/abstract/0954-3899/28/10/313/
  • Alex Read, "Modified Frequentist Analysis of Search Results (The CLs Method)" CERN 2000-005 (30 May 2000)
  • V. Bartsch, G.Quast, "Expected signal observability at future experiments" CMS NOTE 2005/004
  • TLimit

Definition at line 34 of file HybridCalculatorOriginal.h.

Public Member Functions

 HybridCalculatorOriginal (const char *name=0)
 Dummy Constructor with only name. More...
 
 HybridCalculatorOriginal (RooAbsPdf &sb_model, RooAbsPdf &b_model, RooArgList &observables, const RooArgSet *nuisance_parameters=0, RooAbsPdf *prior_pdf=0, bool GenerateBinned=false, int testStatistics=1, int ntoys=1000)
 Constructor for HybridCalculator from pdf instances but without a data-set. More...
 
 HybridCalculatorOriginal (RooAbsData &data, RooAbsPdf &sb_model, RooAbsPdf &b_model, const RooArgSet *nuisance_parameters=0, RooAbsPdf *prior_pdf=0, bool GenerateBinned=false, int testStatistics=1, int ntoys=1000)
 Constructor for HybridCalculator using a data set and pdf instances. More...
 
 HybridCalculatorOriginal (RooAbsData &data, const ModelConfig &sb_model, const ModelConfig &b_model, bool GenerateBinned=false, int testStatistics=1, int ntoys=1000)
 Constructor passing a ModelConfig for the SBmodel and a ModelConfig for the B Model. More...
 
virtual ~HybridCalculatorOriginal ()
 Destructor of HybridCalculator. More...
 
HybridResultCalculate (TH1 &data, unsigned int nToys, bool usePriors) const
 first compute the test statistics for data and then prepare and run the toy-MC experiments More...
 
HybridResultCalculate (RooAbsData &data, unsigned int nToys, bool usePriors) const
 first compute the test statistics for data and then prepare and run the toy-MC experiments More...
 
HybridResultCalculate (unsigned int nToys, bool usePriors) const
 
virtual HybridResultGetHypoTest () const
 inherited methods from HypoTestCalculator interface More...
 
unsigned int GetNumberOfToys () const
 
void PatchSetExtended (bool on=true)
 
void PrintMore (const char *options) const
 Print out some information about the input models. More...
 
virtual void SetAlternateModel (const ModelConfig &)
 Set the model describing the alternate hypothesis. More...
 
virtual void SetAlternateParameters (const RooArgSet &)
 
virtual void SetAlternatePdf (RooAbsPdf &pdf)
 
virtual void SetCommonPdf (RooAbsPdf &pdf)
 
virtual void SetData (RooAbsData &data)
 
void SetGenerateBinned (bool on=true)
 
void SetNuisanceParameters (const RooArgSet &params)
 
void SetNuisancePdf (RooAbsPdf &prior_pdf)
 
virtual void SetNullModel (const ModelConfig &)
 Set the model describing the null hypothesis. More...
 
virtual void SetNullParameters (const RooArgSet &)
 
virtual void SetNullPdf (RooAbsPdf &pdf)
 
void SetNumberOfToys (unsigned int ntoys)
 
void SetTestStatistic (int index)
 set the desired test statistics: index=1 : 2 * log( L_sb / L_b ) (DEFAULT) index=2 : number of generated events index=3 : profiled likelihood ratio if the index is different to any of those values, the default is used More...
 
void UseNuisance (bool on=true)
 
- Public Member Functions inherited from RooStats::HypoTestCalculator
virtual ~HypoTestCalculator ()
 
virtual void SetCommonModel (const ModelConfig &model)
 
- 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 copy ctor. More...
 
virtual ~TNamed ()
 TNamed destructor. More...
 
virtual void Clear (Option_t *option="")
 Set name and title to empty strings (""). More...
 
virtual TObjectClone (const char *newname="") const
 Make a clone of an object using the Streamer facility. 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 ls (Option_t *option="") const
 List TNamed name and title. More...
 
TNamedoperator= (const TNamed &rhs)
 TNamed assignment operator. More...
 
virtual void Print (Option_t *option="") const
 Print TNamed name and title. More...
 
virtual void SetName (const char *name)
 Set the name of the TNamed. More...
 
virtual void SetNameTitle (const char *name, const char *title)
 Set all the TNamed parameters (name and title). More...
 
virtual void SetTitle (const char *title="")
 Set the title of the TNamed. More...
 
virtual Int_t Sizeof () const
 Return size of the TNamed part of the TObject. More...
 
- Public Member Functions inherited from TObject
 TObject ()
 TObject constructor. More...
 
 TObject (const TObject &object)
 TObject copy ctor. More...
 
virtual ~TObject ()
 TObject destructor. 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...
 
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...
 
ULong_t CheckedHash ()
 Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object. 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 TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current selected pad for instance with: gROOT->SetSelectedPad(gPad). More...
 
virtual void Dump () const
 Dump contents of object on stdout. More...
 
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message. 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 void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message. More...
 
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes. More...
 
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes. More...
 
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object. More...
 
virtual const char * GetIconName () const
 Returns mime type name of object. More...
 
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py). More...
 
virtual Option_tGetOption () const
 
virtual UInt_t GetUniqueID () const
 Return the unique object id. More...
 
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out. More...
 
Bool_t HasInconsistentHash () const
 Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e. More...
 
virtual void Info (const char *method, const char *msgfmt,...) const
 Issue info message. 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...
 
void InvertBit (UInt_t f)
 
virtual Bool_t IsEqual (const TObject *obj) const
 Default equal comparison (objects are equal if they have the same address in memory). More...
 
virtual Bool_t IsFolder () const
 Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...
 
R__ALWAYS_INLINE Bool_t IsOnHeap () const
 
R__ALWAYS_INLINE Bool_t IsZombie () const
 
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...
 
virtual Bool_t Notify ()
 This method must be overridden to handle object notification. More...
 
void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
 Use this method to declare a method obsolete. More...
 
void operator delete (void *ptr)
 Operator delete. More...
 
void operator delete[] (void *ptr)
 Operator delete []. More...
 
voidoperator new (size_t sz)
 
voidoperator new (size_t sz, void *vp)
 
voidoperator new[] (size_t sz)
 
voidoperator new[] (size_t sz, void *vp)
 
TObjectoperator= (const TObject &rhs)
 TObject assignment operator. 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...
 
void ResetBit (UInt_t f)
 
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...
 
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)
 
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 SysError (const char *method, const char *msgfmt,...) const
 Issue system error message. More...
 
R__ALWAYS_INLINE Bool_t TestBit (UInt_t f) const
 
Int_t TestBits (UInt_t f) const
 
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 void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message. 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...
 

Private Member Functions

bool DoCheckInputs () const
 
void RunToys (std::vector< double > &bVals, std::vector< double > &sbVals, unsigned int nToys, bool usePriors) const
 do the actual run-MC processing More...
 

Private Attributes

RooAbsPdffBModel
 
RooAbsDatafData
 
bool fGenerateBinned
 
unsigned int fNToys
 
const RooArgSetfNuisanceParameters
 
RooArgListfObservables
 
RooAbsPdffPriorPdf
 
RooAbsPdffSbModel
 
unsigned int fTestStatisticsIdx
 
bool fTmpDoExtended
 
bool fUsePriorPdf
 

Additional Inherited Members

- Public Types inherited from TObject
enum  {
  kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kInconsistent = 0x08000000,
  kBitMask = 0x00ffffff
}
 
enum  { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }
 
enum  EDeprecatedStatusBits { kObjInCanvas = BIT(3) }
 
enum  EStatusBits {
  kCanDelete = BIT(0), kMustCleanup = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5),
  kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13)
}
 
- Static Public Member Functions inherited from TObject
static Long_t GetDtorOnly ()
 Return destructor only flag. More...
 
static Bool_t GetObjectStat ()
 Get status of object stat flag. More...
 
static void SetDtorOnly (void *obj)
 Set destructor only flag. More...
 
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable. More...
 
- Protected Member Functions inherited from TObject
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected). More...
 
void MakeZombie ()
 
- Protected Attributes inherited from TNamed
TString fName
 
TString fTitle
 

#include <RooStats/HybridCalculatorOriginal.h>

Inheritance diagram for RooStats::HybridCalculatorOriginal:
[legend]

Constructor & Destructor Documentation

◆ HybridCalculatorOriginal() [1/4]

HybridCalculatorOriginal::HybridCalculatorOriginal ( const char *  name = 0)
explicit

Dummy Constructor with only name.

constructor with name and title

Definition at line 93 of file HybridCalculatorOriginal.cxx.

◆ HybridCalculatorOriginal() [2/4]

HybridCalculatorOriginal::HybridCalculatorOriginal ( RooAbsPdf sb_model,
RooAbsPdf b_model,
RooArgList observables,
const RooArgSet nuisance_parameters = 0,
RooAbsPdf prior_pdf = 0,
bool  GenerateBinned = false,
int  testStatistics = 1,
int  ntoys = 1000 
)

Constructor for HybridCalculator from pdf instances but without a data-set.

HybridCalculatorOriginal constructor without specifying a data set the user need to specify the models in the S+B case and B-only case, the list of observables of the model(s) (for MC-generation), the list of parameters that are marginalised and the prior distribution of those parameters.

Definition at line 115 of file HybridCalculatorOriginal.cxx.

◆ HybridCalculatorOriginal() [3/4]

HybridCalculatorOriginal::HybridCalculatorOriginal ( RooAbsData data,
RooAbsPdf sbModel,
RooAbsPdf bModel,
const RooArgSet nuisance_parameters = 0,
RooAbsPdf priorPdf = 0,
bool  GenerateBinned = false,
int  testStatistics = 1,
int  numToys = 1000 
)

Constructor for HybridCalculator using a data set and pdf instances.

HybridCalculatorOriginal constructor for performing hypotesis test the user need to specify the data set, the models in the S+B case and B-only case.

In case of treatment of nuisance parameter, the user need to specify the the list of parameters that are marginalised and the prior distribution of those parameters

Definition at line 156 of file HybridCalculatorOriginal.cxx.

◆ HybridCalculatorOriginal() [4/4]

HybridCalculatorOriginal::HybridCalculatorOriginal ( RooAbsData data,
const ModelConfig sbModel,
const ModelConfig bModel,
bool  GenerateBinned = false,
int  testStatistics = 1,
int  numToys = 1000 
)

Constructor passing a ModelConfig for the SBmodel and a ModelConfig for the B Model.

Constructor with a ModelConfig object representing the signal + background model and another model config representig the background only model a Prior pdf for the nuiscane parameter of the signal and background can be specified in the s+b model or the b model.

If it is specified in the s+b model, the one of the s+b model will be used

Definition at line 188 of file HybridCalculatorOriginal.cxx.

◆ ~HybridCalculatorOriginal()

HybridCalculatorOriginal::~HybridCalculatorOriginal ( )
virtual

Destructor of HybridCalculator.

HybridCalculatorOriginal destructor.

Definition at line 214 of file HybridCalculatorOriginal.cxx.

Member Function Documentation

◆ Calculate() [1/3]

HybridResult * HybridCalculatorOriginal::Calculate ( TH1 data,
unsigned int  nToys,
bool  usePriors 
) const

first compute the test statistics for data and then prepare and run the toy-MC experiments

Definition at line 255 of file HybridCalculatorOriginal.cxx.

◆ Calculate() [2/3]

HybridResult * HybridCalculatorOriginal::Calculate ( RooAbsData data,
unsigned int  nToys,
bool  usePriors 
) const

first compute the test statistics for data and then prepare and run the toy-MC experiments

Definition at line 270 of file HybridCalculatorOriginal.cxx.

◆ Calculate() [3/3]

HybridResult * HybridCalculatorOriginal::Calculate ( unsigned int  nToys,
bool  usePriors 
) const

Definition at line 324 of file HybridCalculatorOriginal.cxx.

◆ DoCheckInputs()

bool HybridCalculatorOriginal::DoCheckInputs ( ) const
private

Definition at line 596 of file HybridCalculatorOriginal.cxx.

◆ GetHypoTest()

HybridResult * HybridCalculatorOriginal::GetHypoTest ( ) const
virtual

inherited methods from HypoTestCalculator interface

implementation of inherited methods from HypoTestCalculator

Implements RooStats::HypoTestCalculator.

Definition at line 581 of file HybridCalculatorOriginal.cxx.

◆ GetNumberOfToys()

unsigned int RooStats::HybridCalculatorOriginal::GetNumberOfToys ( ) const
inline

Definition at line 112 of file HybridCalculatorOriginal.h.

◆ PatchSetExtended()

void RooStats::HybridCalculatorOriginal::PatchSetExtended ( bool  on = true)
inline

Definition at line 132 of file HybridCalculatorOriginal.h.

◆ PrintMore()

void HybridCalculatorOriginal::PrintMore ( const char *  options) const

Print out some information about the input models.

Definition at line 547 of file HybridCalculatorOriginal.cxx.

◆ RunToys()

void HybridCalculatorOriginal::RunToys ( std::vector< double > &  bVals,
std::vector< double > &  sbVals,
unsigned int  nToys,
bool  usePriors 
) const
private

do the actual run-MC processing

Definition at line 349 of file HybridCalculatorOriginal.cxx.

◆ SetAlternateModel()

void HybridCalculatorOriginal::SetAlternateModel ( const ModelConfig model)
virtual

Set the model describing the alternate hypothesis.

Implements RooStats::HypoTestCalculator.

Definition at line 233 of file HybridCalculatorOriginal.cxx.

◆ SetAlternateParameters()

virtual void RooStats::HybridCalculatorOriginal::SetAlternateParameters ( const RooArgSet )
inlinevirtual

Definition at line 96 of file HybridCalculatorOriginal.h.

◆ SetAlternatePdf()

virtual void RooStats::HybridCalculatorOriginal::SetAlternatePdf ( RooAbsPdf pdf)
inlinevirtual

Definition at line 88 of file HybridCalculatorOriginal.h.

◆ SetCommonPdf()

virtual void RooStats::HybridCalculatorOriginal::SetCommonPdf ( RooAbsPdf pdf)
inlinevirtual

Definition at line 84 of file HybridCalculatorOriginal.h.

◆ SetData()

virtual void RooStats::HybridCalculatorOriginal::SetData ( RooAbsData data)
inlinevirtual

Implements RooStats::HypoTestCalculator.

Definition at line 91 of file HybridCalculatorOriginal.h.

◆ SetGenerateBinned()

void RooStats::HybridCalculatorOriginal::SetGenerateBinned ( bool  on = true)
inline

Definition at line 118 of file HybridCalculatorOriginal.h.

◆ SetNuisanceParameters()

void RooStats::HybridCalculatorOriginal::SetNuisanceParameters ( const RooArgSet params)
inline

Definition at line 106 of file HybridCalculatorOriginal.h.

◆ SetNuisancePdf()

void RooStats::HybridCalculatorOriginal::SetNuisancePdf ( RooAbsPdf prior_pdf)
inline

Definition at line 100 of file HybridCalculatorOriginal.h.

◆ SetNullModel()

void HybridCalculatorOriginal::SetNullModel ( const ModelConfig model)
virtual

Set the model describing the null hypothesis.

Implements RooStats::HypoTestCalculator.

Definition at line 222 of file HybridCalculatorOriginal.cxx.

◆ SetNullParameters()

virtual void RooStats::HybridCalculatorOriginal::SetNullParameters ( const RooArgSet )
inlinevirtual

Definition at line 94 of file HybridCalculatorOriginal.h.

◆ SetNullPdf()

virtual void RooStats::HybridCalculatorOriginal::SetNullPdf ( RooAbsPdf pdf)
inlinevirtual

Definition at line 86 of file HybridCalculatorOriginal.h.

◆ SetNumberOfToys()

void RooStats::HybridCalculatorOriginal::SetNumberOfToys ( unsigned int  ntoys)
inline

Definition at line 109 of file HybridCalculatorOriginal.h.

◆ SetTestStatistic()

void HybridCalculatorOriginal::SetTestStatistic ( int  index)

set the desired test statistics: index=1 : 2 * log( L_sb / L_b ) (DEFAULT) index=2 : number of generated events index=3 : profiled likelihood ratio if the index is different to any of those values, the default is used

set the desired test statistics:

  • index=1 : likelihood ratio: 2 * log( L_sb / L_b ) (DEFAULT)
  • index=2 : number of generated events
  • index=3 : profiled likelihood ratio if the index is different to any of those values, the default is used

Definition at line 247 of file HybridCalculatorOriginal.cxx.

◆ UseNuisance()

void RooStats::HybridCalculatorOriginal::UseNuisance ( bool  on = true)
inline

Definition at line 115 of file HybridCalculatorOriginal.h.

Member Data Documentation

◆ fBModel

RooAbsPdf* RooStats::HybridCalculatorOriginal::fBModel
private

Definition at line 144 of file HybridCalculatorOriginal.h.

◆ fData

RooAbsData* RooStats::HybridCalculatorOriginal::fData
private

Definition at line 148 of file HybridCalculatorOriginal.h.

◆ fGenerateBinned

bool RooStats::HybridCalculatorOriginal::fGenerateBinned
private

Definition at line 149 of file HybridCalculatorOriginal.h.

◆ fNToys

unsigned int RooStats::HybridCalculatorOriginal::fNToys
private

Definition at line 142 of file HybridCalculatorOriginal.h.

◆ fNuisanceParameters

const RooArgSet* RooStats::HybridCalculatorOriginal::fNuisanceParameters
private

Definition at line 146 of file HybridCalculatorOriginal.h.

◆ fObservables

RooArgList* RooStats::HybridCalculatorOriginal::fObservables
mutableprivate

Definition at line 145 of file HybridCalculatorOriginal.h.

◆ fPriorPdf

RooAbsPdf* RooStats::HybridCalculatorOriginal::fPriorPdf
private

Definition at line 147 of file HybridCalculatorOriginal.h.

◆ fSbModel

RooAbsPdf* RooStats::HybridCalculatorOriginal::fSbModel
private

Definition at line 143 of file HybridCalculatorOriginal.h.

◆ fTestStatisticsIdx

unsigned int RooStats::HybridCalculatorOriginal::fTestStatisticsIdx
private

Definition at line 141 of file HybridCalculatorOriginal.h.

◆ fTmpDoExtended

bool RooStats::HybridCalculatorOriginal::fTmpDoExtended
private

Definition at line 151 of file HybridCalculatorOriginal.h.

◆ fUsePriorPdf

bool RooStats::HybridCalculatorOriginal::fUsePriorPdf
private

Definition at line 150 of file HybridCalculatorOriginal.h.

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