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ProfileLikelihoodCalculator.h
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1 // @(#)root/roostats:$Id$
2 // Author: Kyle Cranmer, Lorenzo Moneta, Gregory Schott, Wouter Verkerke
3 /*************************************************************************
6  * *
7  * For the licensing terms see $ROOTSYS/LICENSE. * 8 * For the list of contributors see$ROOTSYS/README/CREDITS. *
9  *************************************************************************/
10
11 #ifndef ROOSTATS_ProfileLikelihoodCalculator
12 #define ROOSTATS_ProfileLikelihoodCalculator
13
15
17
18 namespace RooStats {
19
20  class LikelihoodInterval;
21
23
24  public:
25
26  /// Default constructor (needed for I/O)
28
29  /// Constructor from data, from a full model pdf describing both parameter of interest and nuisance parameters
30  /// and from the set specifying the parameter of interest (POI).
31  /// There is no need to specify the nuisance parameters since they are all other parameters of the model.
32  /// When using the calculator for performing an hypothesis test one needs to provide also a snapshot (a copy)
33  /// defining the null parameters and their value. There is no need to pass the alternate parameters. These
34  /// will be obtained by the value maximizing the likelihood function
35  ProfileLikelihoodCalculator(RooAbsData& data, RooAbsPdf& pdf, const RooArgSet& paramsOfInterest,
36  Double_t size = 0.05, const RooArgSet* nullParams = 0 );
37
38
39  /// Constructor from data and a model configuration
40  /// If the ModelConfig defines a prior pdf for any of the parameters those will be included as constrained terms in the
41  /// likelihood function
42  ProfileLikelihoodCalculator(RooAbsData& data, ModelConfig & model, Double_t size = 0.05);
43
44
46
47  /// Return a likelihood interval. A global fit to the likelihood is performed and
48  /// the interval is constructed using the profile likelihood ratio function of the POI.
49  virtual LikelihoodInterval* GetInterval() const ;
50
51  /// Return the hypothesis test result obtained from the likelihood ratio of the
52  /// maximum likelihood value with the null parameters fixed to their values, with respect to keeping all parameters
53  /// floating (global maximum likelihood value).
54  virtual HypoTestResult* GetHypoTest() const;
55
56
57
58  protected:
59
60  // clear internal fit result
61  void DoReset() const;
62
63  // perform a global fit
64  RooAbsReal * DoGlobalFit() const;
65
66  // minimize likelihood
67  static RooFitResult * DoMinimizeNLL(RooAbsReal * nll);
68
69
70  mutable RooFitResult * fFitResult; // internal result of global fit
71  mutable bool fGlobalFitDone; // flag to control if a global fit has been done
72
73
74  ClassDef(ProfileLikelihoodCalculator,2) // A concrete implementation of CombinedCalculator that uses the ProfileLikelihood ratio.
75
76  };
77 }
78 #endif
ModelConfig is a simple class that holds configuration information specifying how a model should be u...
Definition: ModelConfig.h:30
virtual LikelihoodInterval * GetInterval() const
Return a likelihood interval.
LikelihoodInterval is a concrete implementation of the RooStats::ConfInterval interface.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
static RooFitResult * DoMinimizeNLL(RooAbsReal *nll)
virtual HypoTestResult * GetHypoTest() const
Return the hypothesis test result obtained from the likelihood ratio of the maximum likelihood value ...
HypoTestResult is a base class for results from hypothesis tests.
The ProfileLikelihoodCalculator is a concrete implementation of CombinedCalculator (the interface cla...
RooFitResult is a container class to hold the input and output of a PDF fit to a dataset.
Definition: RooFitResult.h:40
ProfileLikelihoodCalculator()
Default constructor (needed for I/O)
#define ClassDef(name, id)
Definition: Rtypes.h:326
RooAbsData is the common abstract base class for binned and unbinned datasets.
Definition: RooAbsData.h:44
CombinedCalculator is an interface class for a tools which can produce both RooStats HypoTestResults ...
Namespace for the RooStats classes.
Definition: Asimov.h:19
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:59
virtual ~ProfileLikelihoodCalculator()
destructor cannot delete prod pdf because it will delete all the composing pdf&#39;s if (fOwnPdf) delete ...
RooAbsPdf, the base class of all PDFs
Definition: RooAbsPdf.h:40