OpenMS  3.0.0
BiGaussFitter1D.h
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31 // $Maintainer: Timo Sachsenberg $
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34 
35 
36 #pragma once
37 
40 
41 
42 namespace OpenMS
43 {
49  class OPENMS_DLLAPI BiGaussFitter1D :
50  public MaxLikeliFitter1D
51  {
52 public:
53 
56 
58  BiGaussFitter1D(const BiGaussFitter1D & source);
59 
61  ~BiGaussFitter1D() override;
62 
64  virtual BiGaussFitter1D & operator=(const BiGaussFitter1D & source);
65 
67  static Fitter1D * create()
68  {
69  return new BiGaussFitter1D();
70  }
71 
73  QualityType fit1d(const RawDataArrayType & range, std::unique_ptr<InterpolationModel>& model) override;
74 
76  static const String getProductName()
77  {
78  return "BiGaussFitter1D";
79  }
80 
81 protected:
82 
87 
88  void updateMembers_() override;
89  };
90 }
91 
OpenMS::BiGaussFitter1D::statistics2_
Math::BasicStatistics statistics2_
statistics for second peak site
Definition: BiGaussFitter1D.h:86
OpenMS::BiGaussFitter1D::create
static Fitter1D * create()
create new BiGaussModel object (function needed by Factory)
Definition: BiGaussFitter1D.h:67
OpenMS::String
A more convenient string class.
Definition: String.h:58
BasicStatistics.h
OpenMS::BiGaussFitter1D::getProductName
static const String getProductName()
name of the model (needed by Factory)
Definition: BiGaussFitter1D.h:76
OpenMS
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47
OpenMS::Math::BasicStatistics
Calculates some basic statistical parameters of a distribution: sum, mean, variance,...
Definition: BasicStatistics.h:67
OpenMS::BiGaussFitter1D
BiGaussian distribution fitter (1-dim.) approximated using linear interpolation.
Definition: BiGaussFitter1D.h:49
OpenMS::Fitter1D
Abstract base class for all 1D-dimensional model fitter.
Definition: Fitter1D.h:59
OpenMS::BiGaussFitter1D::statistics1_
Math::BasicStatistics statistics1_
statistics for first peak site
Definition: BiGaussFitter1D.h:84
OpenMS::MaxLikeliFitter1D
Abstract base class for all 1D-model fitters using maximum likelihood optimization.
Definition: MaxLikeliFitter1D.h:46
MaxLikeliFitter1D.h