ROOT   Reference Guide
RooStats::HypoTestInverter Class Reference

A class for performing a hypothesis test inversion by scanning the hypothesis test results of a HypoTestCalculator for various values of the parameter of interest.

By looking at the confidence level curve of the result, an upper limit can be derived by computing the intersection of the confidence level curve with the desired confidence level. The class implements the RooStats::IntervalCalculator interface, and returns a RooStats::HypoTestInverterResult. The result is a SimpleInterval, which via the method UpperLimit() returns to the user the upper limit value.

## Scanning options

The HypoTestInverter implements various options for performing the scan.

### CLs presciption

The class can scan the CLs+b values or alternatively CLs. For the latter, call HypoTestInverter::UseCLs().

Definition at line 36 of file HypoTestInverter.h.

## Public Types

enum  ECalculatorType { kUndefined = 0 , kHybrid = 1 , kFrequentist = 2 , kAsymptotic = 3 }

## Public Member Functions

HypoTestInverter ()
default constructor (used only for I/O) More...

HypoTestInverter (AsymptoticCalculator &hc, RooRealVar *scannedVariable, double size=0.05)
constructor from asymptotic calculator More...

HypoTestInverter (FrequentistCalculator &hc, RooRealVar *scannedVariable, double size=0.05)
constructor from frequentist calculator More...

HypoTestInverter (HybridCalculator &hc, RooRealVar *scannedVariable=nullptr, double size=0.05)
constructor from hybrid calculator More...

HypoTestInverter (HypoTestCalculatorGeneric &hc, RooRealVar *scannedVariable=nullptr, double size=0.05)
constructor from generic hypotest calculator More...

HypoTestInverter (RooAbsData &data, ModelConfig &sb, ModelConfig &b, RooRealVar *scannedVariable=nullptr, ECalculatorType type=kFrequentist, double size=0.05)
constructor from two ModelConfigs (first sb (the null model) then b (the alt model) creating a calculator inside More...

~HypoTestInverter () override
destructor More...

void Clear ()
delete contained result and graph More...

double ConfidenceLevel () const override
Get the Confidence level for the test. More...

HypoTestCalculatorGenericGetHypoTestCalculator () const
retrieved a reference to the internally used HypoTestCalculator it might be invalid when the class is deleted More...

HypoTestInverterResultGetInterval () const override
Run a fixed scan or the automatic scan depending on the configuration. More...

SamplingDistributionGetLowerLimitDistribution (bool rebuild=false, int nToys=100)
get the upper/lower limit distribution More...

TestStatisticGetTestStatistic () const
get the test statistic More...

SamplingDistributionGetUpperLimitDistribution (bool rebuild=false, int nToys=100)
get the distribution of lower limit if rebuild = false (default) it will re-use the results of the scan done for obtained the observed limit and no extra toys will be generated if rebuild a new set of B toys will be done and the procedure will be repeated for each toy The nuisance parameter value used for rebuild is the current one in the model so it is user responsibility to set to the desired value (nomi More...

TClassIsA () const override

SamplingDistributionRebuildDistributions (bool isUpper=true, int nToys=100, TList *clsDist=nullptr, TList *clsbDist=nullptr, TList *clbDist=nullptr, const char *outputfile="HypoTestInverterRebuiltDist.root")
function to rebuild the distributions More...

bool RunFixedScan (int nBins, double xMin, double xMax, bool scanLog=false) const
Run a fixed scan. More...

bool RunLimit (double &limit, double &limitErr, double absTol=0, double relTol=0, const double *hint=nullptr) const
Run an automatic scan until the desired accuracy is reached. More...

bool RunOnePoint (double thisX, bool adaptive=false, double clTarget=-1) const
run only one point at the given POI value More...

void SetAutoScan ()
Use automatic scanning, i.e. adaptive. More...

void SetConfidenceLevel (double cl) override
set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval) More...

void SetData (RooAbsData &) override
Set the DataSet ( add to the workspace if not already there ?) More...

void SetFixedScan (int nBins, double xMin=1, double xMax=-1, bool scanLog=false)
Set up to perform a fixed scan. More...

void SetMaximumToys (int ntoys)
set maximum number of toys More...

void SetModel (const ModelConfig &) override
Set the Model. More...

void SetNumErr (double err)
set numerical error in test statistic evaluation (default is zero) More...

void SetTestSize (double size) override
set the size of the test (rate of Type I error) ( Eg. 0.05 for a 95% Confidence Interval) More...

bool SetTestStatistic (TestStatistic &stat)
set the test statistic More...

void SetVerbose (int level=1)
set verbose level (0,1,2) More...

double Size () const override
Get the size of the test (eg. rate of Type I error) More...

void Streamer (TBuffer &) override

void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

void UseCLs (bool on=true)

Public Member Functions inherited from RooStats::IntervalCalculator
virtual ~IntervalCalculator ()

virtual double ConfidenceLevel () const =0
Get the Confidence level for the test. More...

virtual ConfIntervalGetInterval () const =0
Main interface to get a ConfInterval, pure virtual. More...

virtual TClassIsA () const

virtual void SetConfidenceLevel (double cl)=0
set the confidence level for the interval (e.g. 0.95 for a 95% Confidence Interval) More...

virtual void SetData (RooAbsData &)=0
Set the DataSet ( add to the workspace if not already there ?) More...

virtual void SetModel (const ModelConfig &)=0
Set the Model. More...

virtual void SetTestSize (double size)=0
set the size of the test (rate of Type I error) ( e.g. 0.05 for a 95% Confidence Interval) More...

virtual double Size () const =0
Get the size of the test (eg. rate of Type I error) More...

virtual void Streamer (TBuffer &)

void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

## Static Public Member Functions

static TClassClass ()

static const char * Class_Name ()

static constexpr Version_t Class_Version ()

static const char * DeclFileName ()

static void SetCloseProof (bool flag)
set flag to close proof for every new run More...

Static Public Member Functions inherited from RooStats::IntervalCalculator
static TClassClass ()

static const char * Class_Name ()

static constexpr Version_t Class_Version ()

static const char * DeclFileName ()

## Protected Member Functions

HypoTestInverter (const HypoTestInverter &rhs)
copy c-tor More...

void CreateResults () const
create a new HypoTestInverterResult to hold all computed results More...

HypoTestResultEval (HypoTestCalculatorGeneric &hc, bool adaptive, double clsTarget) const
run the hybrid at a single point More...

HypoTestInverteroperator= (const HypoTestInverter &rhs)
assignment More...

## Static Protected Member Functions

static void CheckInputModels (const HypoTestCalculatorGeneric &hc, const RooRealVar &scanVar)
check the model given the given hypotestcalculator More...

static RooRealVarGetVariableToScan (const HypoTestCalculatorGeneric &hc)
helper functions More...

## Private Attributes

ECalculatorType fCalcType

HypoTestCalculatorGenericfCalculator0
pointer to the calculator passed in the constructor More...

std::unique_ptr< HypoTestCalculatorGenericfHC
! pointer to the generic hypotest calculator used More...

std::unique_ptr< TGraphErrorsfLimitPlot
! plot of limits More...

int fMaxToys
maximum number of toys to run More...

int fNBins

double fNumErr

HypoTestInverterResultfResults
pointer to the result More...

bool fScanLog

RooRealVarfScannedVariable
pointer to the constrained variable More...

double fSize

int fTotalToysRun

bool fUseCLs

int fVerbose

double fXmax

double fXmin

## Static Private Attributes

static double fgAbsAccuracy = 0.05

static std::string fgAlgo = "logSecant"

static double fgCLAccuracy = 0.005

static bool fgCloseProof = false

static unsigned int fgNToys = 500

static double fgRelAccuracy = 0.05

#include <RooStats/HypoTestInverter.h>

Inheritance diagram for RooStats::HypoTestInverter:
[legend]

## ◆ ECalculatorType

Enumerator
kUndefined
kHybrid
kFrequentist
kAsymptotic

Definition at line 40 of file HypoTestInverter.h.

## ◆ HypoTestInverter() [1/7]

 HypoTestInverter::HypoTestInverter ( )

default constructor (used only for I/O)

default constructor (doesn't do anything)

Definition at line 167 of file HypoTestInverter.cxx.

## ◆ HypoTestInverter() [2/7]

 HypoTestInverter::HypoTestInverter ( HypoTestCalculatorGeneric & hc, RooRealVar * scannedVariable = nullptr, double size = 0.05 )

constructor from generic hypotest calculator

Constructor from a HypoTestCalculatorGeneric The HypoTest calculator must be a FrequentistCalculator or HybridCalculator type Other type of calculators are not supported.

The calculator must be created before by using the S+B model for the null and the B model for the alt If no variable to scan are given they are assumed to be the first variable from the parameter of interests of the null model

Definition at line 192 of file HypoTestInverter.cxx.

## ◆ HypoTestInverter() [3/7]

 HypoTestInverter::HypoTestInverter ( HybridCalculator & hc, RooRealVar * scannedVariable = nullptr, double size = 0.05 )

constructor from hybrid calculator

Constructor from a reference to a HybridCalculator The calculator must be created before by using the S+B model for the null and the B model for the alt If no variable to scan are given they are assumed to be the first variable from the parameter of interests of the null model.

Definition at line 245 of file HypoTestInverter.cxx.

## ◆ HypoTestInverter() [4/7]

 HypoTestInverter::HypoTestInverter ( FrequentistCalculator & hc, RooRealVar * scannedVariable, double size = 0.05 )

constructor from frequentist calculator

Constructor from a reference to a FrequentistCalculator The calculator must be created before by using the S+B model for the null and the B model for the alt If no variable to scan are given they are assumed to be the first variable from the parameter of interests of the null model.

Definition at line 278 of file HypoTestInverter.cxx.

## ◆ HypoTestInverter() [5/7]

 HypoTestInverter::HypoTestInverter ( AsymptoticCalculator & hc, RooRealVar * scannedVariable, double size = 0.05 )

constructor from asymptotic calculator

Constructor from a reference to a AsymptoticCalculator The calculator must be created before by using the S+B model for the null and the B model for the alt If no variable to scan are given they are assumed to be the first variable from the parameter of interests of the null model.

Definition at line 310 of file HypoTestInverter.cxx.

## ◆ HypoTestInverter() [6/7]

 HypoTestInverter::HypoTestInverter ( RooAbsData & data, ModelConfig & sbModel, ModelConfig & bModel, RooRealVar * scannedVariable = nullptr, ECalculatorType type = kFrequentist, double size = 0.05 )

constructor from two ModelConfigs (first sb (the null model) then b (the alt model) creating a calculator inside

Constructor from a model for B model and a model for S+B.

An HypoTestCalculator (Hybrid of Frequentis) will be created using the S+B model as the null and the B model as the alternate If no variable to scan are given they are assumed to be the first variable from the parameter of interests of the null model

Definition at line 343 of file HypoTestInverter.cxx.

## ◆ ~HypoTestInverter()

 HypoTestInverter::~HypoTestInverter ( )
override

destructor

destructor (delete the HypoTestInverterResult)

Definition at line 416 of file HypoTestInverter.cxx.

## ◆ HypoTestInverter() [7/7]

 HypoTestInverter::HypoTestInverter ( const HypoTestInverter & rhs )
protected

copy c-tor

copy-constructor NOTE: this class does not copy the contained result and the HypoTestCalculator, but only the pointers It requires the original HTI to be alive

Definition at line 379 of file HypoTestInverter.cxx.

## ◆ CheckInputModels()

 void HypoTestInverter::CheckInputModels ( const HypoTestCalculatorGeneric & hc, const RooRealVar & scanVar )
staticprotected

check the model given the given hypotestcalculator

Definition at line 127 of file HypoTestInverter.cxx.

## ◆ Class()

 static TClass * RooStats::HypoTestInverter::Class ( )
static
Returns
TClass describing this class

## ◆ Class_Name()

 static const char * RooStats::HypoTestInverter::Class_Name ( )
static
Returns
Name of this class

## ◆ Class_Version()

 static constexpr Version_t RooStats::HypoTestInverter::Class_Version ( )
inlinestaticconstexpr
Returns
Version of this class

Definition at line 205 of file HypoTestInverter.h.

## ◆ Clear()

 void HypoTestInverter::Clear ( )

delete contained result and graph

Definition at line 449 of file HypoTestInverter.cxx.

## ◆ ConfidenceLevel()

 double RooStats::HypoTestInverter::ConfidenceLevel ( ) const
inlineoverridevirtual

Get the Confidence level for the test.

Implements RooStats::IntervalCalculator.

Definition at line 117 of file HypoTestInverter.h.

## ◆ CreateResults()

 void HypoTestInverter::CreateResults ( ) const
protected

create a new HypoTestInverterResult to hold all computed results

Definition at line 458 of file HypoTestInverter.cxx.

## ◆ DeclFileName()

 static const char * RooStats::HypoTestInverter::DeclFileName ( )
inlinestatic
Returns
Name of the file containing the class declaration

Definition at line 205 of file HypoTestInverter.h.

## ◆ Eval()

 HypoTestResult * HypoTestInverter::Eval ( HypoTestCalculatorGeneric & hc, bool adaptive, double clsTarget ) const
protected

run the hybrid at a single point

Run the Hypothesis test at a previous configured point (internal function called by RunOnePoint)

Definition at line 521 of file HypoTestInverter.cxx.

## ◆ GetHypoTestCalculator()

 HypoTestCalculatorGeneric * RooStats::HypoTestInverter::GetHypoTestCalculator ( ) const
inline

retrieved a reference to the internally used HypoTestCalculator it might be invalid when the class is deleted

Definition at line 124 of file HypoTestInverter.h.

## ◆ GetInterval()

 HypoTestInverterResult * HypoTestInverter::GetInterval ( ) const
overridevirtual

Run a fixed scan or the automatic scan depending on the configuration.

Return if needed a copy of the result object which will be managed by the user.

Implements RooStats::IntervalCalculator.

Definition at line 490 of file HypoTestInverter.cxx.

## ◆ GetLowerLimitDistribution()

 SamplingDistribution * HypoTestInverter::GetLowerLimitDistribution ( bool rebuild = false, int nToys = 100 )

get the upper/lower limit distribution

get the distribution of lower limit if rebuild = false (default) it will re-use the results of the scan done for obtained the observed limit and no extra toys will be generated if rebuild a new set of B toys will be done and the procedure will be repeated for each toy

Definition at line 1024 of file HypoTestInverter.cxx.

## ◆ GetTestStatistic()

 TestStatistic * HypoTestInverter::GetTestStatistic ( void ) const

get the test statistic

return the test statistic which is or will be used by the class

Definition at line 425 of file HypoTestInverter.cxx.

## ◆ GetUpperLimitDistribution()

 SamplingDistribution * HypoTestInverter::GetUpperLimitDistribution ( bool rebuild = false, int nToys = 100 )

get the distribution of lower limit if rebuild = false (default) it will re-use the results of the scan done for obtained the observed limit and no extra toys will be generated if rebuild a new set of B toys will be done and the procedure will be repeated for each toy The nuisance parameter value used for rebuild is the current one in the model so it is user responsibility to set to the desired value (nomi

Definition at line 1051 of file HypoTestInverter.cxx.

## ◆ GetVariableToScan()

 RooRealVar * HypoTestInverter::GetVariableToScan ( const HypoTestCalculatorGeneric & hc )
staticprotected

helper functions

get the variable to scan try first with null model if not go to alternate model

Definition at line 106 of file HypoTestInverter.cxx.

## ◆ IsA()

 TClass * RooStats::HypoTestInverter::IsA ( ) const
inlineoverridevirtual
Returns
TClass describing current object

Reimplemented from RooStats::IntervalCalculator.

Definition at line 205 of file HypoTestInverter.h.

## ◆ operator=()

 HypoTestInverter & HypoTestInverter::operator= ( const HypoTestInverter & rhs )
protected

assignment

assignment operator NOTE: this class does not copy the contained result and the HypoTestCalculator, but only the pointers It requires the original HTI to be alive

Definition at line 394 of file HypoTestInverter.cxx.

## ◆ RebuildDistributions()

 SamplingDistribution * HypoTestInverter::RebuildDistributions ( bool isUpper = true, int nToys = 100, TList * clsDist = nullptr, TList * clsbDist = nullptr, TList * clbDist = nullptr, const char * outputfile = "HypoTestInverterRebuiltDist.root" )

function to rebuild the distributions

rebuild the sampling distributions by generating some toys and find for each of them a new upper limit Return the upper limit distribution and optionally also the pValue distributions for Cls, Clsb and Clbxs as a TList for each scanned point The method uses the present parameter value.

It is user responsibility to give the current parameters to rebuild the distributions It returns a upper or lower limit distribution depending on the isUpper flag, however it computes also the lower limit distribution and it is saved in the output file as an histogram

Definition at line 1083 of file HypoTestInverter.cxx.

## ◆ RunFixedScan()

 bool HypoTestInverter::RunFixedScan ( int nBins, double xMin, double xMax, bool scanLog = false ) const

Run a fixed scan.

Run a Fixed scan in npoints between min and max.

Parameters
 [in] nBins Number of points to scan. [in] xMin Lower limit of range to be scanned. [in] xMax Upper limit of range to be scanned. [in] scanLog Run in logarithmic steps along x.

Definition at line 604 of file HypoTestInverter.cxx.

## ◆ RunLimit()

 bool HypoTestInverter::RunLimit ( double & limit, double & limitErr, double absAccuracy = 0, double relAccuracy = 0, const double * hint = nullptr ) const

Run an automatic scan until the desired accuracy is reached.

Start by default from the full interval (min,max) of the POI and then via bisection find the line crossing the target line. Optionally, a hint can be provided and the scan will be done closer to that value. If by bisection the desired accuracy will not be reached, a fit to the points is performed.

Parameters
 [out] limit The limit. [out] limitErr The error of the limit. [in] absAccuracy Desired absolute accuracy. [in] relAccuracy Desired relative accuracy. [in] hint Hint to start from or nullptr for no hint.

Definition at line 770 of file HypoTestInverter.cxx.

## ◆ RunOnePoint()

 bool HypoTestInverter::RunOnePoint ( double thisX, bool adaptive = false, double clTarget = -1 ) const

run only one point at the given POI value

Definition at line 670 of file HypoTestInverter.cxx.

## ◆ SetAutoScan()

 void RooStats::HypoTestInverter::SetAutoScan ( )
inline

Definition at line 89 of file HypoTestInverter.h.

## ◆ SetCloseProof()

 void HypoTestInverter::SetCloseProof ( bool flag )
static

set flag to close proof for every new run

Definition at line 98 of file HypoTestInverter.cxx.

## ◆ SetConfidenceLevel()

 void RooStats::HypoTestInverter::SetConfidenceLevel ( double cl )
inlineoverridevirtual

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

Implements RooStats::IntervalCalculator.

Definition at line 113 of file HypoTestInverter.h.

## ◆ SetData()

 void HypoTestInverter::SetData ( RooAbsData & )
overridevirtual

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

Implements RooStats::IntervalCalculator.

Definition at line 1070 of file HypoTestInverter.cxx.

## ◆ SetFixedScan()

 void RooStats::HypoTestInverter::SetFixedScan ( int nBins, double xMin = 1, double xMax = -1, bool scanLog = false )
inline

Set up to perform a fixed scan.

Parameters
 [in] nBins Number of points to scan. [in] xMin Lower limit of range to be scanned. [in] xMax Upper limit of range to be scanned. [in] scanLog Run in logarithmic steps along x.

Definition at line 82 of file HypoTestInverter.h.

## ◆ SetMaximumToys()

 void RooStats::HypoTestInverter::SetMaximumToys ( int ntoys )
inline

set maximum number of toys

Definition at line 144 of file HypoTestInverter.h.

## ◆ SetModel()

 void RooStats::HypoTestInverter::SetModel ( const ModelConfig & )
inlineoverridevirtual

Set the Model.

Implements RooStats::IntervalCalculator.

Definition at line 108 of file HypoTestInverter.h.

## ◆ SetNumErr()

 void RooStats::HypoTestInverter::SetNumErr ( double err )
inline

set numerical error in test statistic evaluation (default is zero)

Definition at line 147 of file HypoTestInverter.h.

## ◆ SetTestSize()

 void RooStats::HypoTestInverter::SetTestSize ( double size )
inlineoverridevirtual

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

Implements RooStats::IntervalCalculator.

Definition at line 111 of file HypoTestInverter.h.

## ◆ SetTestStatistic()

 bool HypoTestInverter::SetTestStatistic ( TestStatistic & stat )

set the test statistic

set the test statistic to use

Definition at line 437 of file HypoTestInverter.cxx.

## ◆ SetVerbose()

 void RooStats::HypoTestInverter::SetVerbose ( int level = 1 )
inline

set verbose level (0,1,2)

Definition at line 141 of file HypoTestInverter.h.

## ◆ Size()

 double RooStats::HypoTestInverter::Size ( ) const
inlineoverridevirtual

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

Implements RooStats::IntervalCalculator.

Definition at line 115 of file HypoTestInverter.h.

## ◆ Streamer()

 void RooStats::HypoTestInverter::Streamer ( TBuffer & )
overridevirtual

Reimplemented from RooStats::IntervalCalculator.

## ◆ StreamerNVirtual()

 void RooStats::HypoTestInverter::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b )
inline

Definition at line 205 of file HypoTestInverter.h.

## ◆ UseCLs()

 void RooStats::HypoTestInverter::UseCLs ( bool on = true )
inline

Definition at line 104 of file HypoTestInverter.h.

## ◆ fCalcType

 ECalculatorType RooStats::HypoTestInverter::fCalcType
private

Definition at line 197 of file HypoTestInverter.h.

## ◆ fCalculator0

 HypoTestCalculatorGeneric* RooStats::HypoTestInverter::fCalculator0
private

pointer to the calculator passed in the constructor

Definition at line 188 of file HypoTestInverter.h.

## ◆ fgAbsAccuracy

 double HypoTestInverter::fgAbsAccuracy = 0.05
staticprivate

Definition at line 175 of file HypoTestInverter.h.

## ◆ fgAlgo

 std::string HypoTestInverter::fgAlgo = "logSecant"
staticprivate

Definition at line 178 of file HypoTestInverter.h.

## ◆ fgCLAccuracy

 double HypoTestInverter::fgCLAccuracy = 0.005
staticprivate

Definition at line 174 of file HypoTestInverter.h.

## ◆ fgCloseProof

 bool HypoTestInverter::fgCloseProof = false
staticprivate

Definition at line 177 of file HypoTestInverter.h.

## ◆ fgNToys

 unsigned int HypoTestInverter::fgNToys = 500
staticprivate

Definition at line 173 of file HypoTestInverter.h.

## ◆ fgRelAccuracy

 double HypoTestInverter::fgRelAccuracy = 0.05
staticprivate

Definition at line 176 of file HypoTestInverter.h.

## ◆ fHC

 std::unique_ptr RooStats::HypoTestInverter::fHC
private

! pointer to the generic hypotest calculator used

Definition at line 189 of file HypoTestInverter.h.

## ◆ fLimitPlot

 std::unique_ptr RooStats::HypoTestInverter::fLimitPlot
mutableprivate

! plot of limits

Definition at line 181 of file HypoTestInverter.h.

## ◆ fMaxToys

 int RooStats::HypoTestInverter::fMaxToys
private

maximum number of toys to run

Definition at line 186 of file HypoTestInverter.h.

## ◆ fNBins

 int RooStats::HypoTestInverter::fNBins
private

Definition at line 198 of file HypoTestInverter.h.

## ◆ fNumErr

 double RooStats::HypoTestInverter::fNumErr
private

Definition at line 201 of file HypoTestInverter.h.

## ◆ fResults

 HypoTestInverterResult* RooStats::HypoTestInverter::fResults
mutableprivate

pointer to the result

Definition at line 191 of file HypoTestInverter.h.

## ◆ fScanLog

 bool RooStats::HypoTestInverter::fScanLog
private

Definition at line 194 of file HypoTestInverter.h.

## ◆ fScannedVariable

 RooRealVar* RooStats::HypoTestInverter::fScannedVariable
private

pointer to the constrained variable

Definition at line 190 of file HypoTestInverter.h.

## ◆ fSize

 double RooStats::HypoTestInverter::fSize
private

Definition at line 195 of file HypoTestInverter.h.

## ◆ fTotalToysRun

 int RooStats::HypoTestInverter::fTotalToysRun
mutableprivate

Definition at line 185 of file HypoTestInverter.h.

## ◆ fUseCLs

 bool RooStats::HypoTestInverter::fUseCLs
private

Definition at line 193 of file HypoTestInverter.h.

## ◆ fVerbose

 int RooStats::HypoTestInverter::fVerbose
private

Definition at line 196 of file HypoTestInverter.h.

## ◆ fXmax

 double RooStats::HypoTestInverter::fXmax
private

Definition at line 200 of file HypoTestInverter.h.

## ◆ fXmin

 double RooStats::HypoTestInverter::fXmin
private

Definition at line 199 of file HypoTestInverter.h.

Libraries for RooStats::HypoTestInverter:
[legend]

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