OpenMS
QuadraticRegression.h
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31 // $Maintainer: Timo Sachsenberg $
32 // $Authors: Christian Ehrlich, Chris Bielow $
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34 
35 #pragma once
36 
37 #include <OpenMS/CONCEPT/Types.h>
39 
40 #include <iterator>
41 #include <vector>
42 
43 namespace OpenMS
44 {
45  namespace Math
46  {
47  /*
48  @brief Estimates model parameters for a quadratic equation
49 
50  The quadratic equation is of the form
51  y = a + b*x + c*x^2
52 
53  Weighted inputs are supported.
54 
55  */
56  class OPENMS_DLLAPI QuadraticRegression
57  {
58 public:
60 
63  std::vector<double>::const_iterator x_begin,
64  std::vector<double>::const_iterator x_end,
65  std::vector<double>::const_iterator y_begin);
66 
69  std::vector<double>::const_iterator x_begin,
70  std::vector<double>::const_iterator x_end,
71  std::vector<double>::const_iterator y_begin,
72  std::vector<double>::const_iterator w_begin);
73 
75  double eval(double x) const;
76 
78  static double eval(double A, double B, double C, double x);
79 
80  double getA() const;
81  double getB() const;
82  double getC() const;
83  double getChiSquared() const;
84 
85 protected:
86  double a_;
87  double b_;
88  double c_;
89  double chi_squared_;
90  }; //class
91 
92  } //namespace
93 } //namespace
94 
Definition: QuadraticRegression.h:57
double b_
Definition: QuadraticRegression.h:87
double eval(double x) const
void computeRegressionWeighted(std::vector< double >::const_iterator x_begin, std::vector< double >::const_iterator x_end, std::vector< double >::const_iterator y_begin, std::vector< double >::const_iterator w_begin)
double c_
Definition: QuadraticRegression.h:88
void computeRegression(std::vector< double >::const_iterator x_begin, std::vector< double >::const_iterator x_end, std::vector< double >::const_iterator y_begin)
static double eval(double A, double B, double C, double x)
double getChiSquared() const
C*X^2.
double chi_squared_
Definition: QuadraticRegression.h:89
double getB() const
A = the intercept.
double a_
Definition: QuadraticRegression.h:86
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:48