A Discrete distribution object defined by a vector of Discrete Distributions and a set of probabilities for these Discrete Distributions. More...

#include <Bpp/Numeric/Prob/MixtureOfDiscreteDistributions.h>

Inheritance diagram for bpp::MixtureOfDiscreteDistributions:

Collaboration diagram for bpp::MixtureOfDiscreteDistributions:

Public Member Functions
	MixtureOfDiscreteDistributions (const std::vector< DiscreteDistribution *> &distributions, const std::vector< double > &probas)
	Builds a new MixtureOfDiscreteDistributions object from a vector of Discrete Distributions and a vector of probabilities. The Discrete Distributions are cloned in the constructor to become attributes. More...

	~MixtureOfDiscreteDistributions ()

	MixtureOfDiscreteDistributions (const MixtureOfDiscreteDistributions &mdd)

MixtureOfDiscreteDistributions &	operator= (const MixtureOfDiscreteDistributions &mdd)

MixtureOfDiscreteDistributions *	clone () const
	Create a copy of this object and send a pointer to it. More...

std::string	getName () const
	Get the name of the distribution. More...

size_t	getNumberOfDistributions () const
	Returns the number of discrete distributions in the mixture. More...

const DiscreteDistribution *	getNDistribution (size_t n) const
	Returns a pointer to the n-th discrete distribution in the mixture. More...

double	getNProbability (size_t n) const
	Returns the probability of the n-th discrete distribution in the mixture. More...

void	setNumberOfCategories (size_t nbClasses)
	sets the number of categories of EACH submodel to nbClasses, so the number of categories of the mixture is the sum of all these numbers. More...

void	fireParameterChanged (const ParameterList &parameters)
	Notify the class when one or several parameters have changed. More...

double	qProb (double x) const
	Return the quantile of the continuous version of the distribution, ie y such that . More...

double	pProb (double x) const
	Return the cumulative quantile of the continuous version of the distribution, ie . More...

double	Expectation (double a) const
	Return a primitive function used for the expectation of the continuous version of the distribution, ie $E(X\|...<=X<a) = \int_{...}^a t.dProb(t) dt$ . More...

void	setMedian (bool median)
	Sets the median value to true to say that the value in a class is proportional to the median value of the class, the proportionality factor being such that the sum of the values equals the expectation of the distribution. If it is set to false, the value is the mean value in the class. More...

void	restrictToConstraint (const Constraint &c)
	Restricts the distribution to the domain where the constraint is respected, in addition of other predefined constraints. More...

void	discretize ()
	Discretizes the distribution in equiprobable classes. More...

void	setNamespace (const std::string &prefix)
	Set the namespace for the parameter names. More...

virtual size_t	getNumberOfIndependentParameters () const =0
	Get the number of independent parameters. More...

size_t	getNumberOfIndependentParameters () const
	Get the number of independent parameters. More...

virtual void	aliasParameters (const std::string &p1, const std::string &p2)=0 throw (ParameterNotFoundException, Exception)
	Set two parameters as 'aliased'. More...

virtual void	aliasParameters (std::map< std::string, std::string > &unparsedParams, bool verbose)=0
	alias the parameters following the links described in a map, and update the object accordingly. Cycles in aliasing are detected and forbidden. More...

void	aliasParameters (const std::string &p1, const std::string &p2) throw (ParameterNotFoundException, Exception)
	Set two parameters as 'aliased'. More...

void	aliasParameters (std::map< std::string, std::string > &unparsedParams, bool verbose)
	alias the parameters following the links described in a map, and update the object accordingly. Cycles in aliasing are detected and forbidden. More...

virtual void	unaliasParameters (const std::string &p1, const std::string &p2)=0 throw (ParameterNotFoundException, Exception)
	Detach two parameters previously set as 'aliased'. More...

void	unaliasParameters (const std::string &p1, const std::string &p2) throw (ParameterNotFoundException, Exception)
	Detach two parameters previously set as 'aliased'. More...

virtual const ParameterList &	getIndependentParameters () const =0
	Get the minimal list of parameters to set the model. More...

const ParameterList &	getIndependentParameters () const
	Get the minimal list of parameters to set the model. More...

virtual std::vector< std::string >	getAlias (const std::string &name) const =0

std::vector< std::string >	getAlias (const std::string &name) const

virtual bool	hasParameter (const std::string &name) const =0
	Tell if there is a parameter with specified name. More...

bool	hasParameter (const std::string &name) const
	Tell if there is a parameter with specified name. More...

virtual const ParameterList &	getParameters () const =0
	Get all parameters available. More...

const ParameterList &	getParameters () const
	Get all parameters available. More...

virtual const Parameter &	getParameter (const std::string &name) const =0 throw (ParameterNotFoundException)
	Get the parameter with specified name. More...

const Parameter &	getParameter (const std::string &name) const throw (ParameterNotFoundException)
	Get the parameter with specified name. More...

virtual double	getParameterValue (const std::string &name) const =0 throw (ParameterNotFoundException)
	Get the value for parameter of name 'name'. More...

double	getParameterValue (const std::string &name) const throw (ParameterNotFoundException)
	Get the value for parameter of name 'name'. More...

virtual void	setAllParametersValues (const ParameterList &parameters)=0 throw (ParameterNotFoundException, ConstraintException)
	Set the parameters values to be equals to those of parameters. More...

void	setAllParametersValues (const ParameterList &parameters) throw (ParameterNotFoundException, ConstraintException)
	Set the parameters values to be equals to those of parameters. More...

virtual void	setParameterValue (const std::string &name, double value)=0 throw (ParameterNotFoundException, ConstraintException)
	Set the value of parameter with name name to be equal to value. More...

void	setParameterValue (const std::string &name, double value) throw (ParameterNotFoundException, ConstraintException)
	Set the value of parameter with name name to be equal to value. More...

virtual void	setParametersValues (const ParameterList &parameters)=0 throw (ParameterNotFoundException, ConstraintException)
	Update the parameters from parameters. More...

void	setParametersValues (const ParameterList &parameters) throw (ParameterNotFoundException, ConstraintException)
	Update the parameters from parameters. More...

virtual bool	matchParametersValues (const ParameterList &parameters)=0 throw (ConstraintException)
	Update the parameters from parameters. More...

bool	matchParametersValues (const ParameterList &parameters) throw (ConstraintException)
	Update the parameters from parameters. More...

virtual size_t	getNumberOfParameters () const =0
	Get the number of parameters. More...

size_t	getNumberOfParameters () const
	Get the number of parameters. More...

virtual std::string	getNamespace () const =0

std::string	getNamespace () const

virtual std::string	getParameterNameWithoutNamespace (const std::string &name) const =0
	Resolves a parameter name according to the current namespace. More...

std::string	getParameterNameWithoutNamespace (const std::string &name) const
	Resolves a parameter name according to the current namespace. More...

ParameterList	getAliasedParameters (const ParameterList &pl) const
	Return the list of the names of the parameters that are aliased (directly or not) to one of the parameters of the list. More...

std::string	getFrom (const std::string &name) const

The DiscreteDistribution interface.
size_t	getNumberOfCategories () const

double	getCategory (size_t categoryIndex) const

double	getProbability (size_t categoryIndex) const

double	getProbability (double category) const

Vdouble	getCategories () const

Vdouble	getProbabilities () const

double	getValueCategory (double value) const

void	set (double category, double probability)
	Set the probability associated to a class. More...

void	add (double category, double probability)
	Modify the probability associated to a class. More...

double	getInfCumulativeProbability (double category) const

double	getIInfCumulativeProbability (double category) const

double	getSupCumulativeProbability (double category) const

double	getSSupCumulativeProbability (double category) const

double	rand () const
	Draw a random number from this distribution. More...

double	randC () const throw (Exception)
	Draw a random number from the continuous version of this distribution, if it exists. More...

double	getBound (size_t i) const throw (IndexOutOfBoundsException)

double	getLowerBound () const
	methods about the range of the definition More...

double	getUpperBound () const

bool	strictLowerBound () const

bool	strictUpperBound () const

Vdouble	getBounds () const

void	print (OutputStream &out) const
	Print the distribution (categories and corresponding probabilities) to a stream. More...

double	precision () const

Protected Member Functions
void	updateDistribution ()

void	addParameter_ (Parameter *parameter)

void	addParameters_ (const ParameterList &parameters)

void	deleteParameter_ (size_t index) throw (IndexOutOfBoundsException)

void	deleteParameter_ (std::string &name) throw (IndexOutOfBoundsException)

void	deleteParameters_ (const std::vector< std::string > &names)

void	resetParameters_ ()

Parameter &	getParameter_ (const std::string &name) throw (ParameterNotFoundException)

Parameter &	getParameter_ (size_t index) throw (IndexOutOfBoundsException)

const Parameter &	getParameter_ (size_t index) const throw (IndexOutOfBoundsException)

Parameter &	getParameterWithNamespace_ (const std::string &name) throw (ParameterNotFoundException)

const Parameter &	getParameterWithNamespace_ (const std::string &name) const throw (ParameterNotFoundException)

ParameterList &	getParameters_ ()

Protected Attributes
std::vector< DiscreteDistribution * >	vdd_

std::vector< double >	probas_

std::vector< std::string >	vNestedPrefix_

size_t	numberOfCategories_

std::map< double, double, Order >	distribution_

std::vector< double >	bounds_

IntervalConstraint	intMinMax_
	the interval where the distribution is defined/restricted. More...

bool	median_

Detailed Description

A Discrete distribution object defined by a vector of Discrete Distributions and a set of probabilities for these Discrete Distributions.

The non-null values of the MixtureOfDiscreteDistributions are all the non-null values of the Discrete Distributions, with probabilities equal to their probabilities in each Discrete Distribution multiplied by the specific probability of this Distribution.

Parameters:

For the probabilities: they are called "theta1",... and defined as $\theta_{i \in 1..\textrm{size-1}}$ such that probability of value $i $ is $(1-\theta_1).(1-\theta_2)...\theta_{i}$

For the values: they are the parameters of the Discrete Distributions, prefixed by the index in the vector of the Discrete Distributions.

Definition at line 69 of file MixtureOfDiscreteDistributions.h.

Constructor & Destructor Documentation

◆ MixtureOfDiscreteDistributions() [1/2]

MixtureOfDiscreteDistributions::MixtureOfDiscreteDistributions	(	const std::vector< DiscreteDistribution *> &	distributions,
		const std::vector< double > &	probas
	)

Builds a new MixtureOfDiscreteDistributions object from a vector of Discrete Distributions and a vector of probabilities. The Discrete Distributions are cloned in the constructor to become attributes.

Parameters

distributions	The vector of pointers to Discrete Distributions.
probas	The vector of probabilities.

Definition at line 48 of file MixtureOfDiscreteDistributions.cpp.

References bpp::AbstractParameterAliasable::addParameter_(), bpp::AbstractParameterAliasable::addParameters_(), clone(), bpp::AbstractParametrizable::getNamespace(), bpp::AbstractParametrizable::getParameters(), bpp::AbstractDiscreteDistribution::precision(), probas_, bpp::Parameter::PROP_CONSTRAINT_IN, bpp::VectorTools::sum(), bpp::TextTools::toString(), updateDistribution(), vdd_, and vNestedPrefix_.

Referenced by clone().

◆ ~MixtureOfDiscreteDistributions()

MixtureOfDiscreteDistributions::~MixtureOfDiscreteDistributions ( )

Definition at line 143 of file MixtureOfDiscreteDistributions.cpp.

References vdd_.

◆ MixtureOfDiscreteDistributions() [2/2]

MixtureOfDiscreteDistributions::MixtureOfDiscreteDistributions ( const MixtureOfDiscreteDistributions & mdd )

Definition at line 110 of file MixtureOfDiscreteDistributions.cpp.

References probas_, vdd_, and vNestedPrefix_.

Member Function Documentation

◆ add()

void AbstractDiscreteDistribution::add	(	double	category,
		double	probability
	)

virtualinherited

Modify the probability associated to a class.

If the category does not exist, a new category is created with the corresponding probability. if the category exists, add 'probability' to the existing probability. The sum of all probabilities is not checked.

Parameters

category	The class value.
probability	The class probability.

Implements bpp::DiscreteDistribution.

Definition at line 181 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ addParameter_()

void bpp::AbstractParameterAliasable::addParameter_ ( Parameter * parameter )

inlineprotectedinherited

Definition at line 212 of file AbstractParameterAliasable.h.

References bpp::ParameterList::addParameter(), bpp::AbstractParametrizable::addParameter_(), bpp::Parameter::clone(), and bpp::AbstractParameterAliasable::independentParameters_.

◆ addParameters_()

void bpp::AbstractParameterAliasable::addParameters_ ( const ParameterList & parameters )

inlineprotectedinherited

Definition at line 218 of file AbstractParameterAliasable.h.

References bpp::ParameterList::addParameters(), bpp::AbstractParametrizable::addParameters_(), and bpp::AbstractParameterAliasable::independentParameters_.

Referenced by bpp::InvariantMixedDiscreteDistribution::InvariantMixedDiscreteDistribution(), and MixtureOfDiscreteDistributions().

◆ aliasParameters() [1/4]

virtual void bpp::ParameterAliasable::aliasParameters	(	const std::string &	p1,
		const std::string &	p2
	)
throw	(	ParameterNotFoundException,
		Exception
	)

pure virtualinherited

Set two parameters as 'aliased'.

The values of the two parameters will be synchronized, so that setting the value of one parameter will automatically set the value of the other one accordingly.

Parameters

p1	Original parameter.
p2	Aliased parameter.

Exceptions

ParameterNotFoundException	if p1 or p2 do not correspond to existing parameters.
Exception	when trying to perform non-valid association.

Implemented in bpp::AbstractParameterAliasable.

◆ aliasParameters() [2/4]

virtual void bpp::ParameterAliasable::aliasParameters	(	std::map< std::string, std::string > &	unparsedParams,
		bool	verbose
	)

pure virtualinherited

alias the parameters following the links described in a map, and update the object accordingly. Cycles in aliasing are detected and forbidden.

Parameters

unparsedParams	the map of the links : <A,B> matches for A->B aliasing.
verbose	verbosity

Implemented in bpp::AbstractParameterAliasable.

◆ aliasParameters() [3/4]

void AbstractParameterAliasable::aliasParameters	(	const std::string &	p1,
		const std::string &	p2
	)
throw	(	ParameterNotFoundException,
		Exception
	)

virtualinherited

Set two parameters as 'aliased'.

The values of the two parameters will be synchronized, so that setting the value of one parameter will automatically set the value of the other one accordingly.

Parameters

p1	Original parameter.
p2	Aliased parameter.

Exceptions

ParameterNotFoundException	if p1 or p2 do not correspond to existing parameters.
Exception	when trying to perform non-valid association.

Implements bpp::ParameterAliasable.

Definition at line 103 of file AbstractParameterAliasable.cpp.

References bpp::Parameter::addParameterListener(), bpp::Parameter::getConstraint(), bpp::Constraint::getDescription(), and bpp::Parameter::hasConstraint().

Referenced by bpp::ParametrizableCollection< N >::addObject().

◆ aliasParameters() [4/4]

void AbstractParameterAliasable::aliasParameters	(	std::map< std::string, std::string > &	unparsedParams,
		bool	verbose
	)

virtualinherited

alias the parameters following the links described in a map, and update the object accordingly. Cycles in aliasing are detected and forbidden.

Parameters

unparsedParams	the map of the links : <A,B> matches for A->B aliasing.
verbose	verbosity

Implements bpp::ParameterAliasable.

Definition at line 151 of file AbstractParameterAliasable.cpp.

References bpp::ParameterList::addParameter(), bpp::AbstractParameterAliasable::aliasParameters(), bpp::ParameterList::clone(), bpp::Parameter::clone(), bpp::ApplicationTools::displayResult(), bpp::ParameterList::getParameter(), bpp::AbstractParametrizable::getParameters(), bpp::Parameter::getValue(), bpp::ParameterList::hasParameter(), bpp::AbstractParametrizable::matchParametersValues(), bpp::ParameterList::size(), and bpp::TextTools::toString().

Referenced by bpp::AbstractParameterAliasable::aliasParameters().

◆ clone()

MixtureOfDiscreteDistributions* bpp::MixtureOfDiscreteDistributions::clone ( ) const

inlinevirtual

Create a copy of this object and send a pointer to it.

Returns: A pointer toward the copy object.

Implements bpp::DiscreteDistribution.

Definition at line 103 of file MixtureOfDiscreteDistributions.h.

References MixtureOfDiscreteDistributions().

Referenced by MixtureOfDiscreteDistributions().

◆ deleteParameter_() [1/2]

void bpp::AbstractParameterAliasable::deleteParameter_	(	size_t	index	)
throw	(	IndexOutOfBoundsException
	)

inlineprotectedinherited

Definition at line 224 of file AbstractParameterAliasable.h.

References bpp::ParameterList::deleteParameter(), bpp::AbstractParametrizable::deleteParameter_(), bpp::Parameter::getName(), bpp::AbstractParametrizable::getParameter_(), bpp::ParameterList::hasParameter(), and bpp::AbstractParameterAliasable::independentParameters_.

Referenced by bpp::AbstractParameterAliasable::deleteParameters_(), and bpp::ParametrizableCollection< N >::removeObject().

◆ deleteParameter_() [2/2]

void bpp::AbstractParameterAliasable::deleteParameter_	(	std::string &	name	)
throw	(	IndexOutOfBoundsException
	)

inlineprotectedinherited

Definition at line 232 of file AbstractParameterAliasable.h.

References bpp::ParameterList::deleteParameter(), bpp::AbstractParametrizable::deleteParameter_(), bpp::ParameterList::hasParameter(), and bpp::AbstractParameterAliasable::independentParameters_.

◆ deleteParameters_()

void bpp::AbstractParameterAliasable::deleteParameters_ ( const std::vector< std::string > & names )

inlineprotectedinherited

Definition at line 239 of file AbstractParameterAliasable.h.

References bpp::AbstractParameterAliasable::deleteParameter_().

◆ discretize()

void MixtureOfDiscreteDistributions::discretize ( )

virtual

Discretizes the distribution in equiprobable classes.

Reimplemented from bpp::AbstractDiscreteDistribution.

Definition at line 262 of file MixtureOfDiscreteDistributions.cpp.

References updateDistribution(), and vdd_.

◆ Expectation()

double MixtureOfDiscreteDistributions::Expectation ( double a ) const

virtual

Return a primitive function used for the expectation of the continuous version of the distribution, ie $E(X|...<=X<a) = \int_{...}^a t.dProb(t) dt$ .

Implements bpp::DiscreteDistribution.

Definition at line 288 of file MixtureOfDiscreteDistributions.cpp.

References probas_, and vdd_.

◆ fireParameterChanged()

void MixtureOfDiscreteDistributions::fireParameterChanged ( const ParameterList & parameters )

virtual

Notify the class when one or several parameters have changed.

Parameters

parameters A ParameterList object with parameters that changed.

Reimplemented from bpp::AbstractParameterAliasable.

Definition at line 164 of file MixtureOfDiscreteDistributions.cpp.

References bpp::AbstractParameterAliasable::fireParameterChanged(), bpp::AbstractParametrizable::getParameterValue(), probas_, bpp::TextTools::toString(), updateDistribution(), and vdd_.

◆ getAlias() [1/2]

virtual std::vector<std::string> bpp::ParameterAliasable::getAlias ( const std::string & name ) const

pure virtualinherited

Returns: The list of names of the parameters that are aliased with a given parameter. Depending on the implementation, the function may be recursive or not...

Parameters

name	The name of the parameter to look for.

Implemented in bpp::AbstractParameterAliasable.

Referenced by bpp::ParametrizableCollection< N >::addObject(), and bpp::BppOParametrizableFormat::write().

◆ getAlias() [2/2]

vector< string > AbstractParameterAliasable::getAlias ( const std::string & name ) const

virtualinherited

Returns: The list of names of the parameters that are aliased with a given parameter. The implementation is recursive, which means that in the case of A->B->C, getalias(C) will return both A and B.

Parameters

name	The name of the parameter to look for.

Implements bpp::ParameterAliasable.

Definition at line 245 of file AbstractParameterAliasable.cpp.

References bpp::AbstractParameterAliasable::aliasListenersRegister_, and bpp::VectorTools::append().

Referenced by bpp::ParametrizableCollection< N >::removeObject().

◆ getAliasedParameters()

ParameterList AbstractParameterAliasable::getAliasedParameters ( const ParameterList & pl ) const

inherited

Return the list of the names of the parameters that are aliased (directly or not) to one of the parameters of the list.

Definition at line 266 of file AbstractParameterAliasable.cpp.

References bpp::ParameterList::addParameter(), bpp::AbstractParameterAliasable::aliasListenersRegister_, bpp::AbstractParametrizable::getParameter(), and bpp::ParameterList::hasParameter().

◆ getBound()

double bpp::AbstractDiscreteDistribution::getBound	(	size_t	)	const
throw	(	IndexOutOfBoundsException
	)

inlinevirtualinherited

Returns: the i th internal bound

Implements bpp::DiscreteDistribution.

Definition at line 178 of file AbstractDiscreteDistribution.h.

References bpp::AbstractDiscreteDistribution::bounds_, and bpp::AbstractDiscreteDistribution::numberOfCategories_.

Referenced by bpp::AbstractDiscreteDistribution::getBounds().

◆ getBounds()

Vdouble AbstractDiscreteDistribution::getBounds ( ) const

virtualinherited

Returns: A vector of all the bounds

Implements bpp::DiscreteDistribution.

Definition at line 444 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::getBound(), bpp::AbstractDiscreteDistribution::getLowerBound(), bpp::AbstractDiscreteDistribution::getUpperBound(), and bpp::AbstractDiscreteDistribution::numberOfCategories_.

◆ getCategories()

Vdouble AbstractDiscreteDistribution::getCategories ( ) const

virtualinherited

Returns: A vector with all classes values.

Implements bpp::DiscreteDistribution.

Definition at line 142 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ getCategory()

double AbstractDiscreteDistribution::getCategory ( size_t categoryIndex ) const

virtualinherited

Parameters

categoryIndex Class index.

Returns: The value associated to a given class.

Implements bpp::DiscreteDistribution.

Definition at line 111 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

Referenced by bpp::BppODiscreteDistributionFormat::write().

◆ getFrom()

string AbstractParameterAliasable::getFrom ( const std::string & name ) const

inherited

Returns: The name of the parameter from which a given parameter is aliased.

Parameters

name	The name of the parameter to look for.

Definition at line 306 of file AbstractParameterAliasable.cpp.

References bpp::AbstractParameterAliasable::aliasListenersRegister_.

◆ getIInfCumulativeProbability()

double AbstractDiscreteDistribution::getIInfCumulativeProbability ( double category ) const

virtualinherited

Returns: $Pr(x \leq \mbox{category})$ .

Parameters

category The class value.

Implements bpp::DiscreteDistribution.

Definition at line 230 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ getIndependentParameters() [1/2]

virtual const ParameterList& bpp::ParameterAliasable::getIndependentParameters ( ) const

pure virtualinherited

Get the minimal list of parameters to set the model.

If no parameters are aliased, this is the same a getParameters().

Returns: A minimal set of parameters.

Implemented in bpp::AbstractParameterAliasable.

Referenced by bpp::InvariantMixedDiscreteDistribution::InvariantMixedDiscreteDistribution(), bpp::BppODiscreteDistributionFormat::write(), and bpp::BppOParametrizableFormat::write().

◆ getIndependentParameters() [2/2]

const ParameterList& bpp::AbstractParameterAliasable::getIndependentParameters ( ) const

inlinevirtualinherited

Get the minimal list of parameters to set the model.

If no parameters are aliased, this is the same a getParameters().

Returns: A minimal set of parameters.

Implements bpp::ParameterAliasable.

Definition at line 162 of file AbstractParameterAliasable.h.

References bpp::AbstractParameterAliasable::independentParameters_.

◆ getInfCumulativeProbability()

double AbstractDiscreteDistribution::getInfCumulativeProbability ( double category ) const

virtualinherited

Returns: $Pr(x < \mbox{category})$ .

Parameters

category The class value.

Implements bpp::DiscreteDistribution.

Definition at line 215 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ getLowerBound()

double bpp::AbstractDiscreteDistribution::getLowerBound ( ) const

inlinevirtualinherited

methods about the range of the definition

Returns: The lowest value.

Reimplemented from bpp::DiscreteDistribution.

Reimplemented in bpp::SimpleDiscreteDistribution, and bpp::ConstantDistribution.

Definition at line 192 of file AbstractDiscreteDistribution.h.

References bpp::IntervalConstraint::getLowerBound(), and bpp::AbstractDiscreteDistribution::intMinMax_.

Referenced by bpp::AbstractDiscreteDistribution::getBounds(), and updateDistribution().

◆ getName()

std::string bpp::MixtureOfDiscreteDistributions::getName ( ) const

inlinevirtual

Get the name of the distribution.

Returns: The name of this distribution.

Implements bpp::DiscreteDistribution.

Definition at line 107 of file MixtureOfDiscreteDistributions.h.

◆ getNamespace() [1/2]

std::string bpp::AbstractParametrizable::getNamespace ( ) const

inlinevirtualinherited

Returns: The current namespace used. This is an empty string if no namespace is currently defined.

Implements bpp::Parametrizable.

Definition at line 125 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::prefix_.

Referenced by MixtureOfDiscreteDistributions(), bpp::Simplex::setFrequencies(), bpp::AbstractParameterAliasable::setNamespace(), and bpp::BppODiscreteDistributionFormat::write().

◆ getNamespace() [2/2]

virtual std::string bpp::Parametrizable::getNamespace ( ) const

pure virtualinherited

Returns: The current namespace used. This is an empty string if no namespace is currently defined.

Implemented in bpp::FunctionWrapper, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::FunctionWrapper::getNamespace().

◆ getNDistribution()

const DiscreteDistribution* bpp::MixtureOfDiscreteDistributions::getNDistribution ( size_t n ) const

inline

Returns a pointer to the n-th discrete distribution in the mixture.

Parameters

n	tne number of the distribution in the mixture;

Definition at line 121 of file MixtureOfDiscreteDistributions.h.

References vdd_.

Referenced by bpp::BppODiscreteDistributionFormat::write().

◆ getNProbability()

double bpp::MixtureOfDiscreteDistributions::getNProbability ( size_t n ) const

inline

Returns the probability of the n-th discrete distribution in the mixture.

Parameters

n	the number of the distribution in the mixture;

Definition at line 131 of file MixtureOfDiscreteDistributions.h.

References probas_.

Referenced by bpp::BppODiscreteDistributionFormat::write().

◆ getNumberOfCategories()

size_t AbstractDiscreteDistribution::getNumberOfCategories ( ) const

virtualinherited

Returns: The number of categories.

Implements bpp::DiscreteDistribution.

Definition at line 91 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::numberOfCategories_.

Referenced by bpp::BppODiscreteDistributionFormat::write().

◆ getNumberOfDistributions()

size_t bpp::MixtureOfDiscreteDistributions::getNumberOfDistributions ( ) const

inline

Returns the number of discrete distributions in the mixture.

Definition at line 114 of file MixtureOfDiscreteDistributions.h.

References vdd_.

Referenced by bpp::BppODiscreteDistributionFormat::write().

◆ getNumberOfIndependentParameters() [1/2]

virtual size_t bpp::ParameterAliasable::getNumberOfIndependentParameters ( ) const

pure virtualinherited

Get the number of independent parameters.

Returns: The number of independent parameters. If no parameters are aliased, this is equivalent to the getNumberOfParameters() method.

Implemented in bpp::AbstractParameterAliasable.

◆ getNumberOfIndependentParameters() [2/2]

size_t bpp::AbstractParameterAliasable::getNumberOfIndependentParameters ( ) const

inlinevirtualinherited

Get the number of independent parameters.

Returns: The number of independent parameters. If no parameters are aliased, this is equivalent to the getNumberOfParameters() method.

Implements bpp::ParameterAliasable.

Definition at line 164 of file AbstractParameterAliasable.h.

References bpp::AbstractParameterAliasable::independentParameters_, and bpp::ParameterList::size().

◆ getNumberOfParameters() [1/2]

size_t bpp::AbstractParametrizable::getNumberOfParameters ( ) const

inlinevirtualinherited

Get the number of parameters.

See also: getNumberOfIndependentParameters If some parameters are aliased.

Returns: The number of parameters.

Implements bpp::Parametrizable.

Definition at line 121 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::parameters_, and bpp::ParameterList::size().

Referenced by bpp::AbstractParameterAliasable::AbstractParameterAliasable(), bpp::SimpleDiscreteDistribution::fireParameterChanged(), bpp::AbstractParameterAliasable::operator=(), bpp::ConstantDistribution::restrictToConstraint(), and bpp::SimpleDiscreteDistribution::restrictToConstraint().

◆ getNumberOfParameters() [2/2]

virtual size_t bpp::Parametrizable::getNumberOfParameters ( ) const

pure virtualinherited

Get the number of parameters.

See also: getNumberOfIndependentParameters If some parameters are aliased.

Returns: The number of parameters.

Implemented in bpp::FunctionWrapper, bpp::ParametrizableAdapter, bpp::AbstractParametrizable, and bpp::DirectionFunction.

Referenced by bpp::FunctionWrapper::getNumberOfParameters(), and bpp::BppODiscreteDistributionFormat::write().

◆ getParameter() [1/2]

const Parameter& bpp::AbstractParametrizable::getParameter	(	const std::string &	name	)	const
throw	(	ParameterNotFoundException
	)

inlinevirtualinherited

Get the parameter with specified name.

Parameters

name	The name of the parameter to look for.

Returns: The parameter with given name.

Exceptions

ParameterNotFoundException if no parameter with this name is found.

Implements bpp::Parametrizable.

Definition at line 79 of file AbstractParametrizable.h.

References bpp::ParameterList::getParameter(), bpp::AbstractParametrizable::parameters_, and bpp::AbstractParametrizable::prefix_.

Referenced by bpp::AbstractParameterAliasable::getAliasedParameters(), bpp::ReparametrizationDerivableFirstOrderWrapper::getFirstOrderDerivative(), bpp::AbstractParametrizable::getParameterValue(), bpp::AbstractParametrizable::getParameterWithNamespace_(), bpp::ReparametrizationDerivableSecondOrderWrapper::getSecondOrderDerivative(), and bpp::TestFunction::getValue().

◆ getParameter() [2/2]

virtual const Parameter& bpp::Parametrizable::getParameter	(	const std::string &	name	)	const
throw	(	ParameterNotFoundException
	)

pure virtualinherited

Get the parameter with specified name.

Parameters

name	The name of the parameter to look for.

Returns: The parameter with given name.

Exceptions

ParameterNotFoundException if no parameter with this name is found.

Implemented in bpp::FunctionWrapper, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::FunctionWrapper::getParameter().

◆ getParameter_() [1/3]

Parameter& bpp::AbstractParametrizable::getParameter_	(	const std::string &	name	)
throw	(	ParameterNotFoundException
	)

inlineprotectedinherited

Parameters

name	The name of the parameter.

Returns: A reference toward the corresponding parameter.

Exceptions

ParameterNotFoundException If no parameter with that name is found in the list.

Definition at line 175 of file AbstractParametrizable.h.

References bpp::ParameterList::getParameter(), bpp::AbstractParametrizable::parameters_, and bpp::AbstractParametrizable::prefix_.

Referenced by bpp::AbstractParameterAliasable::deleteParameter_(), bpp::AbstractParametrizable::getParameterWithNamespace_(), bpp::ConstantDistribution::restrictToConstraint(), bpp::TruncatedExponentialDiscreteDistribution::restrictToConstraint(), bpp::SimpleDiscreteDistribution::restrictToConstraint(), and bpp::InvariantMixedDiscreteDistribution::restrictToConstraint().

◆ getParameter_() [2/3]

Parameter& bpp::AbstractParametrizable::getParameter_	(	size_t	index	)
throw	(	IndexOutOfBoundsException
	)

inlineprotectedinherited

Definition at line 199 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::parameters_, and bpp::ParameterList::size().

◆ getParameter_() [3/3]

const Parameter& bpp::AbstractParametrizable::getParameter_	(	size_t	index	)	const
throw	(	IndexOutOfBoundsException
	)

inlineprotectedinherited

Definition at line 205 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::parameters_, and bpp::ParameterList::size().

◆ getParameterNameWithoutNamespace() [1/2]

std::string AbstractParametrizable::getParameterNameWithoutNamespace ( const std::string & name ) const

virtualinherited

Resolves a parameter name according to the current namespace.

Returns: The parameter name without the namespace prefix, if any.

Implements bpp::Parametrizable.

Definition at line 63 of file AbstractParametrizable.cpp.

References bpp::TextTools::startsWith().

◆ getParameterNameWithoutNamespace() [2/2]

virtual std::string bpp::Parametrizable::getParameterNameWithoutNamespace ( const std::string & name ) const

pure virtualinherited

Resolves a parameter name according to the current namespace.

Returns: The parameter name without the namespace prefix, if any.

Implemented in bpp::FunctionWrapper, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::FunctionWrapper::getParameterNameWithoutNamespace(), bpp::BppODiscreteDistributionFormat::read(), and bpp::BppOParametrizableFormat::write().

◆ getParameters() [1/2]

const ParameterList& bpp::AbstractParametrizable::getParameters ( ) const

inlinevirtualinherited

Get all parameters available.

See also: getIndependentParameters if some parameters are aliased.

Returns: A list with all parameters available.

Implements bpp::Parametrizable.

Definition at line 77 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::parameters_.

Referenced by bpp::AbstractParameterAliasable::aliasParameters(), bpp::AbstractParameterAliasable::fireParameterChanged(), MixtureOfDiscreteDistributions(), and bpp::ParametrizableCollection< N >::removeObject().

◆ getParameters() [2/2]

virtual const ParameterList& bpp::Parametrizable::getParameters ( ) const

pure virtualinherited

Get all parameters available.

See also: getIndependentParameters if some parameters are aliased.

Returns: A list with all parameters available.

Implemented in bpp::FunctionWrapper, bpp::ParametrizableAdapter, bpp::DirectionFunction, and bpp::AbstractParametrizable.

Referenced by bpp::NewtonOneDimension::doStep(), bpp::FunctionWrapper::getParameters(), bpp::BppODiscreteDistributionFormat::read(), bpp::AbstractNumericalDerivative::setParameterValue(), bpp::AbstractOptimizer::step(), and bpp::BppOParametrizableFormat::write().

◆ getParameters_()

ParameterList& bpp::AbstractParametrizable::getParameters_ ( )

inlineprotectedinherited

Definition at line 212 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::parameters_.

Referenced by bpp::AbstractParameterAliasable::AbstractParameterAliasable(), and bpp::AbstractParameterAliasable::operator=().

◆ getParameterValue() [1/2]

double bpp::AbstractParametrizable::getParameterValue	(	const std::string &	name	)	const
throw	(	ParameterNotFoundException
	)

inlinevirtualinherited

Get the value for parameter of name 'name'.

Parameters

name	The name of the parameter.

Returns: the value of parameter name.

Implements bpp::Parametrizable.

Definition at line 84 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::getParameter(), and bpp::Parameter::getValue().

◆ getParameterValue() [2/2]

virtual double bpp::Parametrizable::getParameterValue	(	const std::string &	name	)	const
throw	(	ParameterNotFoundException
	)

pure virtualinherited

Get the value for parameter of name 'name'.

Parameters

name	The name of the parameter.

Returns: the value of parameter name.

Implemented in bpp::FunctionWrapper, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::FunctionWrapper::getParameterValue(), and bpp::BppODiscreteDistributionFormat::read().

◆ getParameterWithNamespace_() [1/2]

Parameter& bpp::AbstractParametrizable::getParameterWithNamespace_	(	const std::string &	name	)
throw	(	ParameterNotFoundException
	)

inlineprotectedinherited

Parameters

name	The name of the parameter, including its namespace.

Returns: A reference toward the corresponding parameter.

Exceptions

ParameterNotFoundException If no parameter with that name is found in the list.

Definition at line 185 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::getParameter_().

◆ getParameterWithNamespace_() [2/2]

const Parameter& bpp::AbstractParametrizable::getParameterWithNamespace_	(	const std::string &	name	)	const
throw	(	ParameterNotFoundException
	)

inlineprotectedinherited

Parameters

name	The name of the parameter, including its namespace.

Returns: A reference toward the corresponding parameter.

Exceptions

ParameterNotFoundException If no parameter with that name is found in the list.

Definition at line 194 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::getParameter().

◆ getProbabilities()

Vdouble AbstractDiscreteDistribution::getProbabilities ( ) const

virtualinherited

Returns: A vector with all probabilities.

Implements bpp::DiscreteDistribution.

Definition at line 158 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ getProbability() [1/2]

double AbstractDiscreteDistribution::getProbability ( size_t categoryIndex ) const

virtualinherited

Parameters

categoryIndex Class index.

Returns: The probability associated to a given class.

Implements bpp::DiscreteDistribution.

Definition at line 123 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

Referenced by bpp::BppODiscreteDistributionFormat::write().

◆ getProbability() [2/2]

double AbstractDiscreteDistribution::getProbability ( double category ) const

virtualinherited

Parameters

category The value associated to the class.

Returns: The probability associated to a given class.

Implements bpp::DiscreteDistribution.

Definition at line 135 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ getSSupCumulativeProbability()

double AbstractDiscreteDistribution::getSSupCumulativeProbability ( double category ) const

virtualinherited

Returns: $Pr(x \geq \mbox{category})$ .

Parameters

category The class value.

Implements bpp::DiscreteDistribution.

Definition at line 264 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ getSupCumulativeProbability()

double AbstractDiscreteDistribution::getSupCumulativeProbability ( double category ) const

virtualinherited

Returns: $Pr(x > \mbox{category})$ .

Parameters

category The class value.

Implements bpp::DiscreteDistribution.

Definition at line 247 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ getUpperBound()

double bpp::AbstractDiscreteDistribution::getUpperBound ( ) const

inlinevirtualinherited

Returns: The highest value.

Reimplemented from bpp::DiscreteDistribution.

Reimplemented in bpp::SimpleDiscreteDistribution, and bpp::ConstantDistribution.

Definition at line 197 of file AbstractDiscreteDistribution.h.

References bpp::IntervalConstraint::getUpperBound(), and bpp::AbstractDiscreteDistribution::intMinMax_.

Referenced by bpp::AbstractDiscreteDistribution::getBounds(), and updateDistribution().

◆ getValueCategory()

double AbstractDiscreteDistribution::getValueCategory ( double value ) const

virtualinherited

Parameters

value

Returns: The value of the category the value is in. Throws a OutOfRangeException if the value is off the domain of the DiscreteDistribution.

Implements bpp::DiscreteDistribution.

Definition at line 289 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::bounds_, bpp::AbstractDiscreteDistribution::distribution_, bpp::AbstractDiscreteDistribution::intMinMax_, bpp::IntervalConstraint::isCorrect(), and bpp::TextTools::toString().

◆ hasParameter() [1/2]

virtual bool bpp::Parametrizable::hasParameter ( const std::string & name ) const

pure virtualinherited

Tell if there is a parameter with specified name.

Parameters

name	The name of the parameter to look for.

Returns: y/n.

Implemented in bpp::FunctionWrapper, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::FunctionWrapper::hasParameter().

◆ hasParameter() [2/2]

bool bpp::AbstractParametrizable::hasParameter ( const std::string & name ) const

inlinevirtualinherited

Tell if there is a parameter with specified name.

Parameters

name	The name of the parameter to look for.

Returns: y/n.

Implements bpp::Parametrizable.

Definition at line 75 of file AbstractParametrizable.h.

References bpp::ParameterList::hasParameter(), bpp::AbstractParametrizable::parameters_, and bpp::AbstractParametrizable::prefix_.

◆ matchParametersValues() [1/2]

bool bpp::AbstractParametrizable::matchParametersValues	(	const ParameterList &	parameters	)
throw	(	ConstraintException
	)

inlinevirtualinherited

Update the parameters from parameters.

Only common parameters with parameters will be updated.

Parameters

parameters A list of parameters.

Returns: True if at least one parameter value has been changed.

Exceptions

ConstraintException If a value in parameters does not match the constraint in the corresponding parameter in the list.

Implements bpp::Parametrizable.

Definition at line 111 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::fireParameterChanged(), bpp::ParameterList::matchParametersValues(), and bpp::AbstractParametrizable::parameters_.

Referenced by bpp::AbstractParameterAliasable::aliasParameters(), bpp::Simplex::setFrequencies(), bpp::ReparametrizationFunctionWrapper::setParameters(), bpp::TestFunction::setParameters(), and bpp::FullHmmTransitionMatrix::setTransitionProbabilities().

◆ matchParametersValues() [2/2]

virtual bool bpp::Parametrizable::matchParametersValues	(	const ParameterList &	parameters	)
throw	(	ConstraintException
	)

pure virtualinherited

Update the parameters from parameters.

Only common parameters with parameters will be updated.

Parameters

parameters A list of parameters.

Returns: True if at least one parameter value has been changed.

Exceptions

ConstraintException If a value in parameters does not match the constraint in the corresponding parameter in the list.

Implemented in bpp::InfinityFunctionWrapper, bpp::FunctionWrapper, bpp::AbstractNumericalDerivative, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::InvariantMixedDiscreteDistribution::fireParameterChanged(), bpp::AbstractNumericalDerivative::matchParametersValues(), bpp::FunctionWrapper::matchParametersValues(), and bpp::InfinityFunctionWrapper::matchParametersValues().

◆ operator=()

MixtureOfDiscreteDistributions & MixtureOfDiscreteDistributions::operator= ( const MixtureOfDiscreteDistributions & mdd )

Definition at line 125 of file MixtureOfDiscreteDistributions.cpp.

References bpp::AbstractDiscreteDistribution::operator=(), bpp::AbstractParameterAliasable::operator=(), probas_, vdd_, and vNestedPrefix_.

◆ pProb()

double MixtureOfDiscreteDistributions::pProb ( double x ) const

virtual

Return the cumulative quantile of the continuous version of the distribution, ie $ Prob(X<x) $ .

Implements bpp::DiscreteDistribution.

Definition at line 272 of file MixtureOfDiscreteDistributions.cpp.

References probas_, and vdd_.

◆ precision()

double bpp::AbstractDiscreteDistribution::precision ( ) const

inlineinherited

Definition at line 216 of file AbstractDiscreteDistribution.h.

References bpp::AbstractDiscreteDistribution::distribution_.

Referenced by bpp::AbstractDiscreteDistribution::discretize(), bpp::BetaDiscreteDistribution::fireParameterChanged(), bpp::SimpleDiscreteDistribution::fireParameterChanged(), MixtureOfDiscreteDistributions(), and bpp::SimpleDiscreteDistribution::SimpleDiscreteDistribution().

◆ print()

void AbstractDiscreteDistribution::print ( OutputStream & out ) const

virtualinherited

Print the distribution (categories and corresponding probabilities) to a stream.

Parameters

out	The outstream where to print the distribution.

Implements bpp::DiscreteDistribution.

Definition at line 279 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ qProb()

double MixtureOfDiscreteDistributions::qProb ( double x ) const

virtual

Return the quantile of the continuous version of the distribution, ie y such that $ Prob(X<y)=x $ .

Implements bpp::DiscreteDistribution.

Definition at line 282 of file MixtureOfDiscreteDistributions.cpp.

◆ rand()

double AbstractDiscreteDistribution::rand ( ) const

virtualinherited

Draw a random number from this distribution.

This number will be one of the class values, drawn according to the class probabilities.

Returns: A random number according to this distribution.

Implements bpp::DiscreteDistribution.

Definition at line 197 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_, and bpp::RandomTools::giveRandomNumberBetweenZeroAndEntry().

◆ randC()

double bpp::AbstractDiscreteDistribution::randC	(		)	const
throw	(	Exception
	)

inlinevirtualinherited

Draw a random number from the continuous version of this distribution, if it exists.

Uses the continuous version of this distribution to draw a random number.

Returns: A random number according to this distribution.

Exceptions

Exception If there is no continuous version of this distribution.

Implements bpp::DiscreteDistribution.

Reimplemented in bpp::TruncatedExponentialDiscreteDistribution, bpp::BetaDiscreteDistribution, bpp::ExponentialDiscreteDistribution, bpp::GammaDiscreteDistribution, bpp::GaussianDiscreteDistribution, bpp::ConstantDistribution, and bpp::UniformDiscreteDistribution.

Definition at line 171 of file AbstractDiscreteDistribution.h.

◆ resetParameters_()

void bpp::AbstractParameterAliasable::resetParameters_ ( )

inlineprotectedinherited

Definition at line 249 of file AbstractParameterAliasable.h.

References bpp::AbstractParameterAliasable::independentParameters_, bpp::ParameterList::reset(), and bpp::AbstractParametrizable::resetParameters_().

Referenced by bpp::ParametrizableCollection< N >::clear().

◆ restrictToConstraint()

void MixtureOfDiscreteDistributions::restrictToConstraint ( const Constraint & c )

virtual

Restricts the distribution to the domain where the constraint is respected, in addition of other predefined constraints.

Parameters

c	The Constraint to respect.

Reimplemented from bpp::AbstractDiscreteDistribution.

Definition at line 298 of file MixtureOfDiscreteDistributions.cpp.

References updateDistribution(), and vdd_.

◆ set()

void AbstractDiscreteDistribution::set	(	double	category,
		double	probability
	)

virtualinherited

Set the probability associated to a class.

If the category does not exist, a new category is created with the corresponding probability. If the category already exist, its probability is set to 'probability'. The sum of all probabilities is not checked.

Parameters

category	The class value.
probability	The class probability.

Implements bpp::DiscreteDistribution.

Definition at line 174 of file AbstractDiscreteDistribution.cpp.

References bpp::AbstractDiscreteDistribution::distribution_.

◆ setAllParametersValues() [1/2]

void bpp::AbstractParametrizable::setAllParametersValues	(	const ParameterList &	parameters	)
throw	(	ParameterNotFoundException,
		ConstraintException
	)

inlinevirtualinherited

Set the parameters values to be equals to those of parameters.

The list must contain exactly the same parameters (ie same names) than the parameters available.

Parameters

parameters A list with all parameters.

Exceptions

ParameterNotFoundException	If a some parameter in the list is not in params.
ConstraintException	If a value in parameters does not match the constraint in the corresponding parameter in the list.

Implements bpp::Parametrizable.

Definition at line 90 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::fireParameterChanged(), bpp::AbstractParametrizable::parameters_, and bpp::ParameterList::setAllParametersValues().

◆ setAllParametersValues() [2/2]

virtual void bpp::Parametrizable::setAllParametersValues	(	const ParameterList &	parameters	)
throw	(	ParameterNotFoundException,
		ConstraintException
	)

pure virtualinherited

Set the parameters values to be equals to those of parameters.

The list must contain exactly the same parameters (ie same names) than the parameters available.

Parameters

parameters A list with all parameters.

Exceptions

ParameterNotFoundException	If a some parameter in the list is not in params.
ConstraintException	If a value in parameters does not match the constraint in the corresponding parameter in the list.

Implemented in bpp::InfinityFunctionWrapper, bpp::FunctionWrapper, bpp::AbstractNumericalDerivative, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::AbstractNumericalDerivative::setAllParametersValues(), bpp::FunctionWrapper::setAllParametersValues(), and bpp::InfinityFunctionWrapper::setAllParametersValues().

◆ setMedian()

void MixtureOfDiscreteDistributions::setMedian ( bool median )

virtual

Sets the median value to true to say that the value in a class is proportional to the median value of the class, the proportionality factor being such that the sum of the values equals the expectation of the distribution. If it is set to false, the value is the mean value in the class.

If the median value is modified, the discretization process is launched.

Parameters

median tells how the value associated to each class is computed.

Reimplemented from bpp::AbstractDiscreteDistribution.

Definition at line 250 of file MixtureOfDiscreteDistributions.cpp.

References bpp::AbstractDiscreteDistribution::median_, updateDistribution(), and vdd_.

◆ setNamespace()

void MixtureOfDiscreteDistributions::setNamespace ( const std::string & prefix )

virtual

Set the namespace for the parameter names.

Parameters

prefix The 'namespace', that is a prefix to add to all parameter names. If parameter names are already prefixed, the new prefix will be used instead.

Reimplemented from bpp::AbstractParameterAliasable.

Definition at line 310 of file MixtureOfDiscreteDistributions.cpp.

References bpp::AbstractParameterAliasable::setNamespace(), vdd_, and vNestedPrefix_.

◆ setNumberOfCategories()

void MixtureOfDiscreteDistributions::setNumberOfCategories ( size_t nbClasses )

virtual

sets the number of categories of EACH submodel to nbClasses, so the number of categories of the mixture is the sum of all these numbers.

Reimplemented from bpp::AbstractDiscreteDistribution.

Definition at line 153 of file MixtureOfDiscreteDistributions.cpp.

References updateDistribution(), and vdd_.

◆ setParametersValues() [1/2]

void bpp::AbstractParametrizable::setParametersValues	(	const ParameterList &	parameters	)
throw	(	ParameterNotFoundException,
		ConstraintException
	)

inlinevirtualinherited

Update the parameters from parameters.

parameters must be a subset of all parameters available.

Parameters

parameters A list containing all parameters to update.

Exceptions

ParameterNotFoundException	If a some parameter in params is not in the list.
ConstraintException	If a value in parameters does not match the constraint in the corresponding parameter in the list.

Implements bpp::Parametrizable.

Definition at line 104 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::fireParameterChanged(), bpp::AbstractParametrizable::parameters_, and bpp::ParameterList::setParametersValues().

Referenced by bpp::LowMemoryRescaledHmmLikelihood::setParameters(), bpp::LogsumHmmLikelihood::setParameters(), and bpp::RescaledHmmLikelihood::setParameters().

◆ setParametersValues() [2/2]

virtual void bpp::Parametrizable::setParametersValues	(	const ParameterList &	parameters	)
throw	(	ParameterNotFoundException,
		ConstraintException
	)

pure virtualinherited

Update the parameters from parameters.

parameters must be a subset of all parameters available.

Parameters

parameters A list containing all parameters to update.

Exceptions

ParameterNotFoundException	If a some parameter in params is not in the list.
ConstraintException	If a value in parameters does not match the constraint in the corresponding parameter in the list.

Implemented in bpp::InfinityFunctionWrapper, bpp::FunctionWrapper, bpp::AbstractNumericalDerivative, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::AbstractNumericalDerivative::setParametersValues(), bpp::FunctionWrapper::setParametersValues(), and bpp::InfinityFunctionWrapper::setParametersValues().

◆ setParameterValue() [1/2]

void bpp::AbstractParametrizable::setParameterValue	(	const std::string &	name,
		double	value
	)
throw	(	ParameterNotFoundException,
		ConstraintException
	)

inlinevirtualinherited

Set the value of parameter with name name to be equal to value.

Parameters

name	the name of the parameter to set.
value	The value of the parameter.

Exceptions

ParameterNotFoundException	If no parameter in the list has the name name.
ConstraintException	If value does not match the constraint associated to parameter name.

Implements bpp::Parametrizable.

Definition at line 97 of file AbstractParametrizable.h.

References bpp::AbstractParametrizable::fireParameterChanged(), bpp::AbstractParametrizable::parameters_, bpp::AbstractParametrizable::prefix_, bpp::ParameterList::setParameterValue(), and bpp::ParameterList::subList().

◆ setParameterValue() [2/2]

virtual void bpp::Parametrizable::setParameterValue	(	const std::string &	name,
		double	value
	)
throw	(	ParameterNotFoundException,
		ConstraintException
	)

pure virtualinherited

Set the value of parameter with name name to be equal to value.

Parameters

name	the name of the parameter to set.
value	The value of the parameter.

Exceptions

ParameterNotFoundException	If no parameter in the list has the name name.
ConstraintException	If value does not match the constraint associated to parameter name.

Implemented in bpp::InfinityFunctionWrapper, bpp::FunctionWrapper, bpp::AbstractNumericalDerivative, bpp::ParametrizableAdapter, and bpp::AbstractParametrizable.

Referenced by bpp::AbstractNumericalDerivative::setParameterValue(), bpp::FunctionWrapper::setParameterValue(), and bpp::InfinityFunctionWrapper::setParameterValue().