bpp-core  2.2.0
InvariantMixedDiscreteDistribution.cpp
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1 //
2 // File: InvariantMixedDiscreteDistribution.cpp
3 // Created by: Julien Dutheil
4 // Created on: Mon Dec 24 12:02 2007
5 //
6 
7 /*
8  Copyright or © or Copr. CNRS, (November 17, 2004)
9 
10  This software is a computer program whose purpose is to provide classes
11  for numerical calculus.
12 
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17  "http://www.cecill.info".
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38  */
39 
41 #include "../../Utils/MapTools.h"
42 
43 
44 using namespace bpp;
45 using namespace std;
46 
47 /******************************************************************************/
48 
50  DiscreteDistribution* dist, double p, double invariant) :
51  AbstractParameterAliasable("Invariant."),
52  AbstractDiscreteDistribution(1, "Invariant."),
53  dist_(dist),
54  invariant_(invariant),
55  p_(p),
56  nestedPrefix_(dist->getNamespace())
57 {
58  // We first change the namespace of the nested distribution:
59  dist_->setNamespace("Invariant." + nestedPrefix_);
61  addParameter_(new Parameter("Invariant.p", p, &Parameter::PROP_CONSTRAINT_IN));
62 
64 }
65 
66 /******************************************************************************/
67 
69 {
71  p_ = getParameterValue("p");
72  dist_->matchParametersValues(parameters);
73 
75 }
76 
77 /******************************************************************************/
78 
80 {
81  distribution_.clear();
82  bounds_.clear();
83 
84  size_t distNCat = dist_->getNumberOfCategories();
85  vector<double> probs = dist_->getProbabilities();
86  vector<double> cats = dist_->getCategories();
87 
89  for (size_t i = 0; i < distNCat; i++)
90  {
91  if (cats[i] == invariant_)
92  distribution_[invariant_] += (1. - p_) * probs[i];
93  else
94  distribution_[cats[i]] = (1. - p_) * probs[i];
95  }
96 
99 
104 
106 
107  // bounds_
108 
109  // if invariant_ is between 2 values of dist_, bounds_ are set in the
110  // middle of the 3 values
111 
112  bool nv = true;
113 
114  double a = dist_->getCategory(0), b;
115  if (nv && (invariant_ < a))
116  {
117  bounds_.push_back((a + invariant_) / 2);
118  nv = false;
119  }
120 
121  for (size_t i = 1; i < distNCat; i++)
122  {
123  b = dist_->getCategory(i);
124  if (nv && (invariant_ < b))
125  {
126  bounds_.push_back((a + invariant_) / 2);
127  bounds_.push_back((invariant_ + b) / 2);
128  nv = false;
129  }
130  else
131  bounds_.push_back(dist_->getBound(i - 1));
132  a = b;
133  }
134 
135  if (nv)
136  bounds_.push_back((a + invariant_) / 2);
137 }
138 
139 /******************************************************************************/
140 
142 {
144  // We also need to update the namespace of the nested distribution:
145  dist_->setNamespace(prefix + nestedPrefix_);
146 }
147 
148 /******************************************************************************/
149 
151 {
152  if (!c.isCorrect(invariant_))
153  throw ConstraintException("Impossible to restrict to Constraint", &getParameter_("p"), invariant_);
154 
157 }
void restrictToConstraint(const Constraint &c)
Restricts the distribution to the domain where the constraint is respected, in addition of other pred...
virtual bool matchParametersValues(const ParameterList &parameters)=0
Update the parameters from parameters.
void fireParameterChanged(const ParameterList &parameters)
Notify the class when one or several parameters have changed.
double getLowerBound() const
Definition: Constraints.h:213
virtual size_t getNumberOfCategories() const =0
Partial implementation of the DiscreteDistribution interface.
This class allows to perform a correspondence analysis.
void setLowerBound(double lowerBound, bool strict)
Definition: Constraints.h:210
Interface for discrete distribution objects.
virtual bool strictLowerBound() const
STL namespace.
This class is designed to facilitate the manipulation of parameters.
Definition: Parameter.h:135
void addParameter_(Parameter *parameter)
InvariantMixedDiscreteDistribution(DiscreteDistribution *dist, double p, double invariant=0.)
Build a new InvariantMixedDiscreteDistribution object.
void setNamespace(const std::string &prefix)
Set the namespace for the parameter names.
virtual double getLowerBound() const
methods about the range of the definition
virtual bool isCorrect(double value) const =0
Tell if a given value is correct.
The parameter list object.
Definition: ParameterList.h:61
virtual Vdouble getCategories() const =0
A partial implementation of the Parametrizable interface.
virtual double getCategory(size_t categoryIndex) const =0
void addParameters_(const ParameterList &parameters)
void fireParameterChanged(const ParameterList &parameters)
Notify the class when one or several parameters have changed.
The constraint interface.
Definition: Constraints.h:62
std::map< double, double, Order > distribution_
virtual const ParameterList & getIndependentParameters() const =0
Get the minimal list of parameters to set the model.
virtual double getUpperBound() const
static const IntervalConstraint PROP_CONSTRAINT_IN
Definition: Parameter.h:336
void setUpperBound(double upperBound, bool strict)
Definition: Constraints.h:211
void setNamespace(const std::string &prefix)
Set the namespace for the parameter names.
virtual double getBound(size_t) const =0
Exception thrown when a value do not match a given constraint.
Parameter & getParameter_(const std::string &name)
virtual void setNamespace(const std::string &prefix)=0
Set the namespace for the parameter names.
double getUpperBound() const
Definition: Constraints.h:214
virtual Vdouble getProbabilities() const =0
IntervalConstraint intMinMax_
the interval where the distribution is defined/restricted.
double getParameterValue(const std::string &name) const
Get the value for parameter of name &#39;name&#39;.
virtual bool strictUpperBound() const
virtual void restrictToConstraint(const Constraint &c)=0
Restricts the distribution to the domain where the constraint is respected, in addition of other pred...