class RooStats::MinNLLTestStat: public RooStats::TestStatistic

MinNLLTestStat is an implementation of the TestStatistic interface that calculates the minimum value of the negative log likelihood function and returns it as a test statistic. Internaly it operates by delegating to a MinNLLTestStat object.

Function Members (Methods)

public:

virtual	~MinNLLTestStat()
static TClass*	Class()
virtual void	EnableDetailedOutput(bool e = true)
virtual Double_t	Evaluate(RooAbsData& data, RooArgSet& paramsOfInterest)
virtual const RooArgSet*	GetDetailedOutput() const
virtual const TString	GetVarName() const
virtual TClass*	IsA() const
RooStats::MinNLLTestStat	MinNLLTestStat()
RooStats::MinNLLTestStat	MinNLLTestStat(RooAbsPdf& pdf)
RooStats::MinNLLTestStat	MinNLLTestStat(const RooStats::MinNLLTestStat& rhs)
RooStats::MinNLLTestStat&	operator=(const RooStats::MinNLLTestStat& rhs)
virtual bool	RooStats::TestStatistic::PValueIsRightTail() const
void	SetLOffset(Bool_t flag = kTRUE)
void	SetMinimizer(const char* minimizer)
void	SetOneSided(Bool_t flag = true)
void	SetOneSidedDiscovery(Bool_t flag = true)
void	SetPrintLevel(Int_t printlevel)
void	SetReuseNLL(Bool_t flag)
void	SetStrategy(Int_t strategy)
void	SetTolerance(double tol)
virtual void	SetVarName(const char* name)
virtual void	ShowMembers(TMemberInspector& insp) const
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
RooStats::TestStatistic	RooStats::TestStatistic::TestStatistic()
RooStats::TestStatistic	RooStats::TestStatistic::TestStatistic(const RooStats::TestStatistic&)

Data Members

private:

RooStats::ProfileLikelihoodTestStat*	fProflts

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

MinNLLTestStat()

 Proof constructor. Do not use.

MinNLLTestStat(RooAbsPdf& pdf)

MinNLLTestStat(const RooStats::MinNLLTestStat& rhs)

MinNLLTestStat & operator=(const RooStats::MinNLLTestStat& rhs)

virtual ~MinNLLTestStat()

void SetOneSided(Bool_t flag = true)

{fProflts->SetOneSided(flag);}

void SetOneSidedDiscovery(Bool_t flag = true)

{fProflts->SetOneSidedDiscovery(flag);}

void SetReuseNLL(Bool_t flag)

{ fProflts->SetReuseNLL(flag); }

void SetMinimizer(const char* minimizer)

{ fProflts->SetMinimizer(minimizer); }

void SetStrategy(Int_t strategy)

{ fProflts->SetStrategy(strategy); }

void SetTolerance(double tol)

{ fProflts->SetTolerance(tol); }

void SetPrintLevel(Int_t printlevel)

{ fProflts->SetPrintLevel(printlevel); }

void SetLOffset(Bool_t flag = kTRUE)

{ fProflts->SetLOffset(flag) ; }

Double_t Evaluate(RooAbsData& data, RooArgSet& paramsOfInterest)

 Main interface to evaluate the test statistic on a dataset

void EnableDetailedOutput(bool e = true)

{ fProflts->EnableDetailedOutput(e); }

const RooArgSet* GetDetailedOutput(void)

 Returns detailed output. The value returned by this function is updated after each call to Evaluate().
 The returned RooArgSet contains the following:
 <ul>
 <li> the minimum nll, fitstatus and convergence quality for each fit </li>
 <li> for all non-constant parameters their value, error and pull </li>
 </ul>

void SetVarName(const char* name)

{ fProflts->SetVarName(name); }

const TString GetVarName() const

{ return fProflts->GetVarName(); }