OpenMS
BiGaussFitter1D.h
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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 
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 
BiGaussian distribution fitter (1-dim.) approximated using linear interpolation.
Definition: BiGaussFitter1D.h:51
static Fitter1D * create()
create new BiGaussModel object (function needed by Factory)
Definition: BiGaussFitter1D.h:67
Math::BasicStatistics statistics1_
statistics for first peak site
Definition: BiGaussFitter1D.h:84
Math::BasicStatistics statistics2_
statistics for second peak site
Definition: BiGaussFitter1D.h:86
QualityType fit1d(const RawDataArrayType &range, std::unique_ptr< InterpolationModel > &model) override
return interpolation model
virtual BiGaussFitter1D & operator=(const BiGaussFitter1D &source)
assignment operator
~BiGaussFitter1D() override
destructor
BiGaussFitter1D()
Default constructor.
void updateMembers_() override
This method is used to update extra member variables at the end of the setParameters() method.
BiGaussFitter1D(const BiGaussFitter1D &source)
copy constructor
static const String getProductName()
name of the model (needed by Factory)
Definition: BiGaussFitter1D.h:76
Abstract base class for all 1D-dimensional model fitter.
Definition: Fitter1D.h:60
std::vector< PeakType > RawDataArrayType
Peak type data container type using for the temporary storage of the input data.
Definition: Fitter1D.h:73
Feature::QualityType QualityType
Quality of a feature.
Definition: Fitter1D.h:69
Calculates some basic statistical parameters of a distribution: sum, mean, variance,...
Definition: BasicStatistics.h:69
Abstract base class for all 1D-model fitters using maximum likelihood optimization.
Definition: MaxLikeliFitter1D.h:47
A more convenient string class.
Definition: String.h:60
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:48