OpenMS  3.0.0
GumbelMaxLikelihoodFitter.h
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31 // $Maintainer: Julianus Pfeuffer $
32 // $Authors: Julianus Pfeuffer $
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34 //
35 #pragma once
36 
38 #include <vector>
39 
40 
41 namespace OpenMS
42 {
43  namespace Math
44  {
57  class OPENMS_DLLAPI GumbelMaxLikelihoodFitter
58  {
59 
60 public:
61 
64  {
65  GumbelDistributionFitResult(double local_a, double local_b) :
66  a(local_a),
67  b(local_b)
68  {
69  }
70 
72  double a;
74  double b;
75 
76  double log_eval_no_normalize(double x) const;
77  };
78 
84  virtual ~GumbelMaxLikelihoodFitter();
85 
87  void setInitialParameters(const GumbelDistributionFitResult & result);
88 
98  GumbelDistributionFitResult fitWeighted(const std::vector<double> & x, const std::vector<double> & w);
99 
100 protected:
101 
103 
104 private:
108  GumbelMaxLikelihoodFitter & operator=(const GumbelMaxLikelihoodFitter & rhs);
109  };
110  }
111 }
112 
OpenMS::Math::GumbelMaxLikelihoodFitter
Implements a fitter for the Gumbel distribution.
Definition: GumbelMaxLikelihoodFitter.h:57
OpenMS::Math::GumbelMaxLikelihoodFitter::GumbelDistributionFitResult
struct to represent the parameters of a gumbel distribution
Definition: GumbelMaxLikelihoodFitter.h:63
OpenMS
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47
OpenMS::Math::GumbelMaxLikelihoodFitter::GumbelDistributionFitResult::b
double b
scale parameter b
Definition: GumbelMaxLikelihoodFitter.h:74
OpenMS::Math::GumbelMaxLikelihoodFitter::GumbelDistributionFitResult::GumbelDistributionFitResult
GumbelDistributionFitResult(double local_a, double local_b)
Definition: GumbelMaxLikelihoodFitter.h:65
OpenMS::Math::GumbelMaxLikelihoodFitter::GumbelDistributionFitResult::a
double a
location parameter a
Definition: GumbelMaxLikelihoodFitter.h:72
String.h
OpenMS::Math::GumbelMaxLikelihoodFitter::init_param_
GumbelDistributionFitResult init_param_
Definition: GumbelMaxLikelihoodFitter.h:102