bpp-core  2.2.0
ExponentialDiscreteDistribution.h
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1 //
2 // File: ExponentialDiscreteDistribution.h
3 // Created by: Julien Dutheil
4 // Created on: Tue Nov 13 12:37 2007
5 //
6 
7 /*
8  Copyright or © or Copr. Bio++ Development Team, (November 17, 2004)
9 
10  This software is a computer program whose purpose is to provide classes
11  for numerical calculus.
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39 
40 #ifndef _EXPONENTIALDISCRETEDISTRIBUTION_H_
41 #define _EXPONENTIALDISCRETEDISTRIBUTION_H_
42 
44 #include "../Constraints.h"
45 #include "../Random/RandomTools.h"
46 
47 namespace bpp
48 {
56 {
57 protected:
58  double lambda_;
59 
60 public:
70  ExponentialDiscreteDistribution(size_t n, double lambda = 1.);
71 
75  lambda_(dist.lambda_)
76  {}
77 
79  {
82  lambda_ = dist.lambda_;
83  return *this;
84  }
85 
87 
89 
90 public:
91  std::string getName() const {return("Exponential");}
92 
93  void fireParameterChanged(const ParameterList& parameters);
94 
95  double randC() const throw (Exception)
96  {
97  double x = RandomTools::randExponential(1. / getParameterValue("lambda"));
98  while (!intMinMax_.isCorrect(x))
100 
101  return x;
102  }
103 
104  double pProb(double x) const
105  {
106  return 1. - exp(-lambda_ * x);
107  }
108 
109  double qProb(double x) const
110  {
111  return -log(1. - x) / lambda_;
112  }
113 
114  double Expectation(double a) const
115  {
116  return 1. / lambda_ - exp(-a * lambda_) * (a + 1. / lambda_);
117  }
118 };
119 } //end of namespace bpp.
120 
121 #endif //_EXPONENTIALDISCRETEDISTRIBUTION_H_
122 
Partial implementation of the DiscreteDistribution interface.
This class allows to perform a correspondence analysis.
virtual bool isCorrect(double value) const
Tell if a given value is correct.
Definition: Constraints.h:228
ExponentialDiscreteDistribution * clone() const
Create a copy of this object and send a pointer to it.
std::string getName() const
Get the name of the distribution.
Discretized Exponential distribution.
The parameter list object.
Definition: ParameterList.h:61
double Expectation(double a) const
Return a primitive function used for the expectation of the continuous version of the distribution...
double randC() const
Draw a random number from the continuous version of this distribution, if it exists.
AbstractDiscreteDistribution & operator=(const AbstractDiscreteDistribution &adde)
double pProb(double x) const
Return the cumulative quantile of the continuous version of the distribution, ie .
void fireParameterChanged(const ParameterList &parameters)
Notify the class when one or several parameters have changed.
A partial implementation of the Parametrizable interface.
ExponentialDiscreteDistribution(const ExponentialDiscreteDistribution &dist)
ExponentialDiscreteDistribution & operator=(const ExponentialDiscreteDistribution &dist)
AbstractParameterAliasable & operator=(const AbstractParameterAliasable &ap)
double qProb(double x) const
Return the quantile of the continuous version of the distribution, ie y such that ...
Exception base class.
Definition: Exceptions.h:57
IntervalConstraint intMinMax_
the interval where the distribution is defined/restricted.
static double randExponential(double mean, const RandomFactory &generator= *DEFAULT_GENERATOR)
Definition: RandomTools.cpp:96
ExponentialDiscreteDistribution(size_t n, double lambda=1.)
Build a new discretized exponential distribution.
double getParameterValue(const std::string &name) const
Get the value for parameter of name 'name'.