OpenMS
GumbelMaxLikelihoodFitter.h
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1 // Copyright (c) 2002-present, The OpenMS Team -- EKU Tuebingen, ETH Zurich, and FU Berlin
2 // SPDX-License-Identifier: BSD-3-Clause
3 //
4 // --------------------------------------------------------------------------
5 // $Maintainer: Julianus Pfeuffer $
6 // $Authors: Julianus Pfeuffer $
7 // --------------------------------------------------------------------------
8 //
9 #pragma once
10 
12 #include <vector>
13 
14 
15 namespace OpenMS
16 {
17  namespace Math
18  {
31  class OPENMS_DLLAPI GumbelMaxLikelihoodFitter
32  {
33 
34 public:
35 
38  {
39  GumbelDistributionFitResult(double local_a, double local_b) :
40  a(local_a),
41  b(local_b)
42  {
43  }
44 
46  double a;
48  double b;
49 
50  double log_eval_no_normalize(double x) const;
51  };
52 
59 
62 
72  GumbelDistributionFitResult fitWeighted(const std::vector<double> & x, const std::vector<double> & w);
73 
74 protected:
75 
77 
78 private:
83  };
84  }
85 }
86 
Implements a fitter for the Gumbel distribution.
Definition: GumbelMaxLikelihoodFitter.h:32
virtual ~GumbelMaxLikelihoodFitter()
Destructor.
GumbelMaxLikelihoodFitter & operator=(const GumbelMaxLikelihoodFitter &rhs)
assignment operator (not implemented)
GumbelMaxLikelihoodFitter(const GumbelMaxLikelihoodFitter &rhs)
Copy constructor (not implemented)
GumbelDistributionFitResult fitWeighted(const std::vector< double > &x, const std::vector< double > &w)
Fits a gumbel distribution to the given data x values. Fills a weighted histogram first and generates...
GumbelDistributionFitResult init_param_
Definition: GumbelMaxLikelihoodFitter.h:76
GumbelMaxLikelihoodFitter(GumbelDistributionFitResult init)
Default constructor.
GumbelMaxLikelihoodFitter()
Default constructor.
void setInitialParameters(const GumbelDistributionFitResult &result)
sets the gumbel distribution start parameters a and b for the fitting
Main OpenMS namespace.
Definition: openswathalgo/include/OpenMS/OPENSWATHALGO/DATAACCESS/ISpectrumAccess.h:19
struct to represent the parameters of a gumbel distribution
Definition: GumbelMaxLikelihoodFitter.h:38
double a
location parameter a
Definition: GumbelMaxLikelihoodFitter.h:46
double b
scale parameter b
Definition: GumbelMaxLikelihoodFitter.h:48
GumbelDistributionFitResult(double local_a, double local_b)
Definition: GumbelMaxLikelihoodFitter.h:39