#include <Bpp/Phyl/Likelihood/RHomogeneousMixedTreeLikelihood.h>

Inheritance diagram for bpp::RHomogeneousMixedTreeLikelihood:

Collaboration diagram for bpp::RHomogeneousMixedTreeLikelihood:

Public Member Functions
	RHomogeneousMixedTreeLikelihood (const Tree &tree, SubstitutionModel model, DiscreteDistribution rDist, bool checkRooted=true, bool verbose=true, bool usePatterns=true) throw (Exception)
	Build a new RHomogeneousMixedTreeLikelihood object without data. More...

	RHomogeneousMixedTreeLikelihood (const Tree &tree, const SiteContainer &data, SubstitutionModel model, DiscreteDistribution rDist, bool checkRooted=true, bool verbose=true, bool usePatterns=true) throw (Exception)
	Build a new RHomogeneousMixedTreeLikelihood object with data. More...

	RHomogeneousMixedTreeLikelihood (const RHomogeneousMixedTreeLikelihood &lik)

RHomogeneousMixedTreeLikelihood &	operator= (const RHomogeneousMixedTreeLikelihood &lik)

virtual	~RHomogeneousMixedTreeLikelihood ()

RHomogeneousMixedTreeLikelihood *	clone () const

void	initialize () throw (Exception)
	Init the likelihood object. More...

void	fireParameterChanged (const ParameterList &params)

void	computeTreeLikelihood ()

virtual double	getDLikelihoodForASiteForARateClass (size_t site, size_t rateClass) const

virtual void	computeTreeDLikelihood (const std::string &variable)

virtual double	getD2LikelihoodForASiteForARateClass (size_t site, size_t rateClass) const

virtual void	computeTreeD2Likelihood (const std::string &variable)

void	setParameters (const ParameterList &parameters) throw (ParameterNotFoundException, ConstraintException)
	Implements the Function interface. More...

double	getValue () const throw (Exception)

size_t	getSiteIndex (size_t site) const throw (IndexOutOfBoundsException)
	Get the index (used for inner computations) of a given site (original alignment column). More...

DRASRTreeLikelihoodData *	getLikelihoodData ()

const DRASRTreeLikelihoodData *	getLikelihoodData () const

virtual double	getDLikelihoodForASite (size_t site) const

virtual double	getDLogLikelihoodForASite (size_t site) const

virtual double	getDLogLikelihood () const

virtual double	getD2LikelihoodForASite (size_t site) const

virtual double	getD2LogLikelihoodForASite (size_t site) const

virtual double	getD2LogLikelihood () const

virtual void	initParameters ()
	This builds the parameters list from all parametrizable objects, i.e. substitution model, rate distribution and tree. More...

virtual void	applyParameters () throw (Exception)
	All parameters are stored in a parameter list. This function apply these parameters to the substitution model, to the rate distribution and to the branch lengths. More...

virtual void	initBranchLengthsParameters ()

virtual double	getMinimumBranchLength () const

virtual double	getMaximumBranchLength () const

virtual const SiteContainer *	getData () const =0
	Get the dataset for which the likelihood must be evaluated. More...

virtual bool	isInitialized () const =0

virtual double	getLikelihoodForASiteForAState (size_t site, int state) const =0
	Get the likelihood for a site and for a state. More...

virtual double	getLogLikelihoodForASiteForAState (size_t site, int state) const =0
	Get the logarithm of the likelihood for a site and for a state. More...

virtual Vdouble	getLikelihoodForEachSite () const =0
	Get the likelihood for each site. More...

virtual Vdouble	getLogLikelihoodForEachSite () const =0
	Get the logarithm of the likelihood for each site. More...

virtual VVdouble	getLikelihoodForEachSiteForEachState () const =0
	Get the likelihood for each site and for each state. More...

virtual VVdouble	getLogLikelihoodForEachSiteForEachState () const =0
	Get the logarithm of the likelihood for each site and for each state. More...

virtual const Tree &	getTree () const =0
	Get the tree (topology and branch lengths). More...

virtual size_t	getNumberOfSites () const =0
	Get the number of sites in the dataset. More...

virtual const Alphabet *	getAlphabet () const =0
	Get the alphabet associated to the dataset. More...

virtual void	enableDerivatives (bool yn)=0
	Tell if derivatives must be computed. More...

virtual ParameterList	getDerivableParameters () const =0
	All derivable parameters. More...

virtual ParameterList	getNonDerivableParameters () const =0
	All non derivable parameters. More...

The TreeLikelihood interface.
Other methods are implemented in the RHomogeneousTreeLikelihood class.
void	setData (const SiteContainer &sites) throw (Exception)
	Set the dataset for which the likelihood must be evaluated. More...

The DiscreteRatesAcrossSites interface implementation:
double	getLikelihoodForASiteForARateClass (size_t site, size_t rateClass) const
	Get the likelihood for a site knowing its rate class. More...

double	getLogLikelihoodForASiteForARateClass (size_t site, size_t rateClass) const
	Get the logarithm of the likelihood for a site knowing its rate class. More...

double	getLikelihoodForASiteForARateClassForAState (size_t site, size_t rateClass, int state) const
	Get the likelihood for a site knowing its rate class and its ancestral state. More...

double	getLogLikelihoodForASiteForARateClassForAState (size_t site, size_t rateClass, int state) const
	Get the logarithm of the likelihood for a site knowing its rate class and its ancestral state. More...

The TreeLikelihood interface.
Other methods are implemented in the AbstractHomogeneousTreeLikelihood class.
double	getLikelihood () const
	Get the likelihood for the whole dataset. More...

double	getLogLikelihood () const
	Get the logarithm of the likelihood for the whole dataset. More...

double	getLikelihoodForASite (size_t site) const
	Get the likelihood for a site. More...

double	getLogLikelihoodForASite (size_t site) const
	Get the logarithm of the likelihood for a site. More...

DerivableFirstOrder interface.
double	getFirstOrderDerivative (const std::string &variable) const throw (Exception)

DerivableSecondOrder interface.
double	getSecondOrderDerivative (const std::string &variable) const throw (Exception)

double	getSecondOrderDerivative (const std::string &variable1, const std::string &variable2) const throw (Exception)

The TreeLikelihood interface.
Other methods are implemented in the AbstractTreeLikelihood class.
size_t	getNumberOfStates () const

const std::vector< int > &	getAlphabetStates () const

int	getAlphabetStateAsInt (size_t i) const

std::string	getAlphabetStateAsChar (size_t i) const

ParameterList	getBranchLengthsParameters () const
	Get the branch lengths parameters. More...

ParameterList	getSubstitutionModelParameters () const
	Get the parameters associated to substitution model(s). More...

ParameterList	getRateDistributionParameters () const
	Get the parameters associated to the rate distirbution. More...

const std::vector< double > &	getRootFrequencies (size_t siteIndex) const
	Get the values of the frequencies for each state in the alphabet at the root node. More...

VVVdouble	getTransitionProbabilitiesPerRateClass (int nodeId, size_t siteIndex) const
	Retrieves all Pij(t) for a particular branch, defined by the upper node. More...

ConstBranchModelIterator *	getNewBranchModelIterator (int nodeId) const

ConstSiteModelIterator *	getNewSiteModelIterator (size_t siteIndex) const

The HomogeneousTreeLikelihood interface.
Other methods are implemented in the AbstractTreeLikelihood class.
const SubstitutionModel *	getSubstitutionModel () const

const SubstitutionModel *	getSubstitutionModel (int nodeId, size_t siteIndex) const throw (NodeNotFoundException)
	Get the substitution model associated to a given node and alignment column. More...

SubstitutionModel *	getSubstitutionModel ()

SubstitutionModel *	getSubstitutionModel (int nodeId, size_t siteIndex) throw (NodeNotFoundException)
	Get the substitution model associated to a given node and alignment column. More...

void	setSubstitutionModel (SubstitutionModel *model) throw (Exception)

The TreeLikelihood interface.
const SiteContainer *	getData () const
	Get the dataset for which the likelihood must be evaluated. More...

bool	isInitialized () const

Vdouble	getLikelihoodForEachSite () const
	Get the likelihood for each site. More...

Vdouble	getLogLikelihoodForEachSite () const
	Get the logarithm of the likelihood for each site. More...

VVdouble	getLikelihoodForEachSiteForEachState () const
	Get the likelihood for each site and for each state. More...

VVdouble	getLogLikelihoodForEachSiteForEachState () const
	Get the logarithm of the likelihood for each site and for each state. More...

const Tree &	getTree () const
	Get the tree (topology and branch lengths). More...

size_t	getNumberOfSites () const
	Get the number of sites in the dataset. More...

const Alphabet *	getAlphabet () const
	Get the alphabet associated to the dataset. More...

void	enableDerivatives (bool yn)
	Tell if derivatives must be computed. More...

void	enableFirstOrderDerivatives (bool yn)

bool	enableFirstOrderDerivatives () const

void	enableSecondOrderDerivatives (bool yn)

bool	enableSecondOrderDerivatives () const

The TreeLikelihood interface.
Other methods are implemented in the AbstractTreeLikelihood class.
double	getLikelihoodForASiteForAState (size_t site, int state) const
	Get the likelihood for a site and for a state. More...

double	getLogLikelihoodForASiteForAState (size_t site, int state) const
	Get the logarithm of the likelihood for a site and for a state. More...

VVdouble	getTransitionProbabilities (int nodeId, size_t siteIndex) const
	Retrieves all Pij(t) for a particular branch, defined by the upper node and site. More...

ParameterList	getDerivableParameters () const
	All derivable parameters. More...

ParameterList	getNonDerivableParameters () const
	All non derivable parameters. More...

Retrieve some particular parameters subsets.
virtual VVdouble	getTransitionProbabilities (int nodeId, size_t siteIndex) const =0
	Retrieves all Pij(t) for a particular branch, defined by the upper node and site. More...

The DiscreteRatesAcrossSites interface implementation:
const DiscreteDistribution *	getRateDistribution () const
	Get the rate distribution used for the computation. More...

DiscreteDistribution *	getRateDistribution ()
	Get the rate distribution used for the computation. More...

size_t	getNumberOfClasses () const
	Get the number of classes. More...

VVdouble	getLikelihoodForEachSiteForEachRateClass () const
	Get the likelihood for each site and each rate class. More...

VVdouble	getLogLikelihoodForEachSiteForEachRateClass () const
	Get the logarithm of the likelihood for each site and each rate class. More...

VVVdouble	getLikelihoodForEachSiteForEachRateClassForEachState () const
	Get the likelihood for each site and each rate class and each state. More...

VVVdouble	getLogLikelihoodForEachSiteForEachRateClassForEachState () const
	Get the logarithm of the likelihood for each site and each rate class and each state. More...

VVdouble	getPosteriorProbabilitiesOfEachRate () const
	Get the posterior probability for each site of belonging to a particular rate class. More...

Vdouble	getRateWithMaxPostProbOfEachSite () const
	Get the posterior rate (the one with maximum posterior probability) for each site. More...

std::vector< size_t >	getRateClassWithMaxPostProbOfEachSite () const
	Get the posterior rate class (the one with maximum posterior probability) for each site. More...

Vdouble	getPosteriorRateOfEachSite () const
	Get the posterior rate, i.e. averaged over all classes and weighted with posterior probabilities, for each site. More...

Static Public Member Functions
Generic tools to deal with likelihood arrays
static void	resetLikelihoodArray (VVVdouble &likelihoodArray)
	Set all conditional likelihoods to 1. More...

static void	displayLikelihoodArray (const VVVdouble &likelihoodArray)
	Print the likelihood array to terminal (debugging tool). More...

Protected Member Functions
virtual void	computeSubtreeLikelihood (const Node *node)
	Compute the likelihood for a subtree defined by the Tree::Node node. More...

virtual void	computeDownSubtreeDLikelihood (const Node *)

virtual void	computeDownSubtreeD2Likelihood (const Node *)

void	computeAllTransitionProbabilities ()
	This method is used by fireParameterChanged method. More...

void	computeTransitionProbabilitiesForNode (const Node *node)
	This method is used by fireParameterChanged method. More...

virtual void	displayLikelihood (const Node *node)
	This method is mainly for debugging purpose. More...

virtual void	setMinimumBranchLength (double brlen) throw (Exception)

virtual void	setMaximumBranchLength (double brlen) throw (Exception)

Protected Attributes
double	minusLogLik_

SubstitutionModel *	model_

ParameterList	brLenParameters_

std::map< int, VVVdouble >	pxy_

std::map< int, VVVdouble >	dpxy_

std::map< int, VVVdouble >	d2pxy_

std::vector< double >	rootFreqs_

std::vector< Node * >	nodes_
	Pointer toward all nodes in the tree. More...

size_t	nbSites_

size_t	nbDistinctSites_

size_t	nbClasses_

size_t	nbStates_

size_t	nbNodes_

bool	verbose_

double	minimumBrLen_

double	maximumBrLen_

std::auto_ptr< Constraint >	brLenConstraint_

DiscreteDistribution *	rateDistribution_

const SiteContainer *	data_

TreeTemplate< Node > *	tree_

bool	computeFirstOrderDerivatives_

bool	computeSecondOrderDerivatives_

bool	initialized_

Private Attributes
std::vector< RHomogeneousTreeLikelihood * >	treeLikelihoodsContainer_

std::vector< double >	probas_

Detailed Description

@ brief A class to compute the average of several RHomogeneousTreeLikelihood defined from a Mixed Substitution Model.

In all the calculs, the average of the likelihoods, probabilities are computed.

Definition at line 60 of file RHomogeneousMixedTreeLikelihood.h.

Constructor & Destructor Documentation

◆ RHomogeneousMixedTreeLikelihood() [1/3]

RHomogeneousMixedTreeLikelihood::RHomogeneousMixedTreeLikelihood	(	const Tree &	tree,
		SubstitutionModel *	model,
		DiscreteDistribution *	rDist,
		bool	checkRooted = `true`,
		bool	verbose = `true`,
		bool	usePatterns = `true`
	)
throw	(	Exception
	)

Build a new RHomogeneousMixedTreeLikelihood object without data.

This constructor only initialize the parameters. To compute a likelihood, you will need to call the setData() and the computeTreeLikelihood() methods.

Parameters

tree	The tree to use.
model	The mixed substitution model to use.
rDist	The rate across sites distribution to use.
checkRooted	Tell if we have to check for the tree to be unrooted. If true, any rooted tree will be unrooted before likelihood computation.
verbose	Should I display some info?
usePatterns	Tell if recursive site compression should be performed.

Exceptions

Exception in an error occured.

Definition at line 54 of file RHomogeneousMixedTreeLikelihood.cpp.

References bpp::MixedSubstitutionModel::getNModel(), bpp::MixedSubstitutionModel::getNProbability(), and bpp::MixedSubstitutionModel::getNumberOfModels().

Referenced by clone().

◆ RHomogeneousMixedTreeLikelihood() [2/3]

RHomogeneousMixedTreeLikelihood::RHomogeneousMixedTreeLikelihood	(	const Tree &	tree,
		const SiteContainer &	data,
		SubstitutionModel *	model,
		DiscreteDistribution *	rDist,
		bool	checkRooted = `true`,
		bool	verbose = `true`,
		bool	usePatterns = `true`
	)
throw	(	Exception
	)

Build a new RHomogeneousMixedTreeLikelihood object with data.

This constructor initializes all parameters, data, and likelihood arrays.

Parameters

tree	The tree to use.
data	Sequences to use.
model	The mixed substitution model to use.
rDist	The rate across sites distribution to use.
checkRooted	Tell if we have to check for the tree to be unrooted. If true, any rooted tree will be unrooted before likelihood computation.
verbose	Should I display some info?
usePatterns	Tell if recursive site compression should be performed.

Exceptions

Exception in an error occured.

Definition at line 77 of file RHomogeneousMixedTreeLikelihood.cpp.

References bpp::MixedSubstitutionModel::getNModel(), bpp::MixedSubstitutionModel::getNProbability(), and bpp::MixedSubstitutionModel::getNumberOfModels().

◆ RHomogeneousMixedTreeLikelihood() [3/3]

RHomogeneousMixedTreeLikelihood::RHomogeneousMixedTreeLikelihood ( const RHomogeneousMixedTreeLikelihood & lik )

Definition at line 121 of file RHomogeneousMixedTreeLikelihood.cpp.

References probas_, and treeLikelihoodsContainer_.

◆ ~RHomogeneousMixedTreeLikelihood()

RHomogeneousMixedTreeLikelihood::~RHomogeneousMixedTreeLikelihood ( )

virtual

Definition at line 133 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

Member Function Documentation

◆ applyParameters()

void AbstractHomogeneousTreeLikelihood::applyParameters	(		)
throw	(	Exception
	)

virtualinherited

All parameters are stored in a parameter list. This function apply these parameters to the substitution model, to the rate distribution and to the branch lengths.

Reimplemented in bpp::RHomogeneousClockTreeLikelihood.

Definition at line 286 of file AbstractHomogeneousTreeLikelihood.cpp.

References bpp::SubstitutionModel::getFrequencies(), bpp::AbstractTreeLikelihood::initialized_, bpp::AbstractHomogeneousTreeLikelihood::model_, bpp::AbstractHomogeneousTreeLikelihood::nbNodes_, bpp::AbstractHomogeneousTreeLikelihood::nodes_, bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_, and bpp::AbstractHomogeneousTreeLikelihood::rootFreqs_.

Referenced by fireParameterChanged(), bpp::DRHomogeneousMixedTreeLikelihood::fireParameterChanged(), bpp::DRHomogeneousTreeLikelihood::fireParameterChanged(), and bpp::RHomogeneousTreeLikelihood::fireParameterChanged().

◆ clone()

RHomogeneousMixedTreeLikelihood* bpp::RHomogeneousMixedTreeLikelihood::clone ( ) const

inlinevirtual

Implements bpp::HomogeneousTreeLikelihood.

Definition at line 125 of file RHomogeneousMixedTreeLikelihood.h.

References RHomogeneousMixedTreeLikelihood().

◆ computeAllTransitionProbabilities()

void RHomogeneousMixedTreeLikelihood::computeAllTransitionProbabilities ( )

protectedvirtual

This method is used by fireParameterChanged method.

Reimplemented from bpp::AbstractHomogeneousTreeLikelihood.

Definition at line 315 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ computeDownSubtreeD2Likelihood()

void RHomogeneousMixedTreeLikelihood::computeDownSubtreeD2Likelihood ( const Node * node )

protectedvirtual

Reimplemented from bpp::RHomogeneousTreeLikelihood.

Definition at line 306 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ computeDownSubtreeDLikelihood()

void RHomogeneousMixedTreeLikelihood::computeDownSubtreeDLikelihood ( const Node * node )

protectedvirtual

Reimplemented from bpp::RHomogeneousTreeLikelihood.

Definition at line 298 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ computeSubtreeLikelihood()

void RHomogeneousMixedTreeLikelihood::computeSubtreeLikelihood ( const Node * node )

protectedvirtual

Compute the likelihood for a subtree defined by the Tree::Node node.

Parameters

node	The root of the subtree.

Reimplemented from bpp::RHomogeneousTreeLikelihood.

Definition at line 290 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ computeTransitionProbabilitiesForNode()

void RHomogeneousMixedTreeLikelihood::computeTransitionProbabilitiesForNode ( const Node * node )

protectedvirtual

This method is used by fireParameterChanged method.

Reimplemented from bpp::AbstractHomogeneousTreeLikelihood.

Definition at line 324 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ computeTreeD2Likelihood()

void RHomogeneousMixedTreeLikelihood::computeTreeD2Likelihood ( const std::string & variable )

virtual

Reimplemented from bpp::RHomogeneousTreeLikelihood.

Definition at line 282 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ computeTreeDLikelihood()

void RHomogeneousMixedTreeLikelihood::computeTreeDLikelihood ( const std::string & variable )

virtual

Reimplemented from bpp::RHomogeneousTreeLikelihood.

Definition at line 258 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ computeTreeLikelihood()

void RHomogeneousMixedTreeLikelihood::computeTreeLikelihood ( )

Definition at line 191 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ displayLikelihood()

void RHomogeneousMixedTreeLikelihood::displayLikelihood ( const Node * node )

protectedvirtual

This method is mainly for debugging purpose.

Parameters

node	The node at which likelihood values must be displayed.

Reimplemented from bpp::RHomogeneousTreeLikelihood.

Definition at line 333 of file RHomogeneousMixedTreeLikelihood.cpp.

References treeLikelihoodsContainer_.

◆ displayLikelihoodArray()

void AbstractDiscreteRatesAcrossSitesTreeLikelihood::displayLikelihoodArray ( const VVVdouble & likelihoodArray )

staticinherited

Print the likelihood array to terminal (debugging tool).

Parameters

likelihoodArray the likelihood array.

Definition at line 287 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

Referenced by bpp::DRHomogeneousTreeLikelihood::displayLikelihood(), bpp::DRNonHomogeneousTreeLikelihood::displayLikelihood(), bpp::RHomogeneousTreeLikelihood::displayLikelihood(), and bpp::RNonHomogeneousTreeLikelihood::displayLikelihood().

◆ enableDerivatives() [1/2]

void bpp::AbstractTreeLikelihood::enableDerivatives ( bool yn )

inlinevirtualinherited

Tell if derivatives must be computed.

This methods calls the enableFirstOrderDerivatives and enableSecondOrderDerivatives.

Parameters

yn	Yes or no.

Implements bpp::TreeLikelihood.

Definition at line 292 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::computeFirstOrderDerivatives_, and bpp::AbstractTreeLikelihood::computeSecondOrderDerivatives_.

Referenced by bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::AbstractDiscreteRatesAcrossSitesTreeLikelihood(), and bpp::DistanceEstimation::computeMatrix().

◆ enableDerivatives() [2/2]

virtual void bpp::TreeLikelihood::enableDerivatives ( bool yn )

pure virtualinherited

Tell if derivatives must be computed.

This methods calls the enableFirstOrderDerivatives and enableSecondOrderDerivatives.

Parameters

yn	Yes or no.

Implemented in bpp::AbstractTreeLikelihood.

◆ enableFirstOrderDerivatives() [1/2]

void bpp::AbstractTreeLikelihood::enableFirstOrderDerivatives ( bool yn )

inlineinherited

Definition at line 293 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::computeFirstOrderDerivatives_.

◆ enableFirstOrderDerivatives() [2/2]

bool bpp::AbstractTreeLikelihood::enableFirstOrderDerivatives ( ) const

inlineinherited

Definition at line 295 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::computeFirstOrderDerivatives_.

◆ enableSecondOrderDerivatives() [1/2]

void bpp::AbstractTreeLikelihood::enableSecondOrderDerivatives ( bool yn )

inlineinherited

Definition at line 294 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::computeFirstOrderDerivatives_, and bpp::AbstractTreeLikelihood::computeSecondOrderDerivatives_.

◆ enableSecondOrderDerivatives() [2/2]

bool bpp::AbstractTreeLikelihood::enableSecondOrderDerivatives ( ) const

inlineinherited

Definition at line 296 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::computeSecondOrderDerivatives_.

◆ fireParameterChanged()

void RHomogeneousMixedTreeLikelihood::fireParameterChanged ( const ParameterList & params )

Definition at line 163 of file RHomogeneousMixedTreeLikelihood.cpp.

References bpp::AbstractHomogeneousTreeLikelihood::applyParameters(), bpp::RHomogeneousTreeLikelihood::getLogLikelihood(), bpp::MixedSubstitutionModel::getNModel(), bpp::MixedSubstitutionModel::getNumberOfModels(), bpp::MixedSubstitutionModel::getProbabilities(), bpp::RHomogeneousTreeLikelihood::minusLogLik_, bpp::AbstractHomogeneousTreeLikelihood::model_, probas_, and treeLikelihoodsContainer_.

◆ getAlphabet() [1/2]

const Alphabet* bpp::AbstractTreeLikelihood::getAlphabet ( ) const

inlinevirtualinherited

Get the alphabet associated to the dataset.

Returns: the alphabet associated to the dataset.

Implements bpp::TreeLikelihood.

Definition at line 285 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::data_.

◆ getAlphabet() [2/2]

virtual const Alphabet* bpp::TreeLikelihood::getAlphabet ( ) const

pure virtualinherited

Get the alphabet associated to the dataset.

Returns: the alphabet associated to the dataset.

Implemented in bpp::AbstractTreeLikelihood.

◆ getAlphabetStateAsChar()

std::string bpp::AbstractHomogeneousTreeLikelihood::getAlphabetStateAsChar ( size_t i ) const

inlinevirtualinherited

Returns: the alphabet state corresponding to the given model state.

Implements bpp::TreeLikelihood.

Definition at line 171 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::SubstitutionModel::getAlphabetStateAsChar(), and bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getAlphabetStateAsInt()

int bpp::AbstractHomogeneousTreeLikelihood::getAlphabetStateAsInt ( size_t i ) const

inlinevirtualinherited

Returns: the alphabet state corresponding to the given model state.

Implements bpp::TreeLikelihood.

Definition at line 169 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::SubstitutionModel::getAlphabetStateAsInt(), and bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getAlphabetStates()

const std::vector<int>& bpp::AbstractHomogeneousTreeLikelihood::getAlphabetStates ( ) const

inlinevirtualinherited

Returns: the alphabet states corresponding to all model states.

Implements bpp::TreeLikelihood.

Definition at line 167 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::SubstitutionModel::getAlphabetStates(), and bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getBranchLengthsParameters()

ParameterList AbstractHomogeneousTreeLikelihood::getBranchLengthsParameters ( ) const

virtualinherited

Get the branch lengths parameters.

Returns: A ParameterList with all branch lengths.

Implements bpp::TreeLikelihood.

Definition at line 250 of file AbstractHomogeneousTreeLikelihood.cpp.

References bpp::AbstractHomogeneousTreeLikelihood::brLenParameters_, and bpp::AbstractTreeLikelihood::initialized_.

◆ getD2LikelihoodForASite()

double RHomogeneousTreeLikelihood::getD2LikelihoodForASite ( size_t site ) const

virtualinherited

Definition at line 567 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getD2LikelihoodForASiteForARateClass(), bpp::AbstractHomogeneousTreeLikelihood::nbClasses_, and bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_.

Referenced by bpp::RHomogeneousTreeLikelihood::getD2LogLikelihoodForASite().

◆ getD2LikelihoodForASiteForARateClass()

double RHomogeneousMixedTreeLikelihood::getD2LikelihoodForASiteForARateClass	(	size_t	site,
		size_t	rateClass
	)		const

virtual

Reimplemented from bpp::RHomogeneousTreeLikelihood.

Definition at line 269 of file RHomogeneousMixedTreeLikelihood.cpp.

References probas_, and treeLikelihoodsContainer_.

◆ getD2LogLikelihood()

double RHomogeneousTreeLikelihood::getD2LogLikelihood ( ) const

virtualinherited

Definition at line 588 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getD2LogLikelihoodForASite(), and bpp::AbstractHomogeneousTreeLikelihood::nbSites_.

◆ getD2LogLikelihoodForASite()

double RHomogeneousTreeLikelihood::getD2LogLikelihoodForASite ( size_t site ) const

virtualinherited

Definition at line 580 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getD2LikelihoodForASite(), bpp::RHomogeneousTreeLikelihood::getDLikelihoodForASite(), and bpp::RHomogeneousTreeLikelihood::getLikelihoodForASite().

Referenced by bpp::RHomogeneousTreeLikelihood::getD2LogLikelihood().

◆ getData() [1/2]

virtual const SiteContainer* bpp::TreeLikelihood::getData ( ) const

pure virtualinherited

Get the dataset for which the likelihood must be evaluated.

Returns: A pointer toward the site container where the sequences are stored.

Implemented in bpp::AbstractTreeLikelihood.

◆ getData() [2/2]

const SiteContainer* bpp::AbstractTreeLikelihood::getData ( ) const

inlinevirtualinherited

Get the dataset for which the likelihood must be evaluated.

Returns: A pointer toward the site container where the sequences are stored.

Implements bpp::TreeLikelihood.

Definition at line 284 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::data_.

Referenced by bpp::RNonHomogeneousMixedTreeLikelihood::init().

◆ getDerivableParameters() [1/2]

ParameterList AbstractDiscreteRatesAcrossSitesTreeLikelihood::getDerivableParameters ( ) const

virtualinherited

All derivable parameters.

Usually, this contains all branch lengths parameters.

Returns: A ParameterList.

Implements bpp::TreeLikelihood.

Reimplemented in bpp::RHomogeneousClockTreeLikelihood.

Definition at line 73 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getDerivableParameters() [2/2]

virtual ParameterList bpp::TreeLikelihood::getDerivableParameters ( ) const

pure virtualinherited

All derivable parameters.

Usually, this contains all branch lengths parameters.

Returns: A ParameterList.

Implemented in bpp::RHomogeneousClockTreeLikelihood, and bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood.

◆ getDLikelihoodForASite()

double RHomogeneousTreeLikelihood::getDLikelihoodForASite ( size_t site ) const

virtualinherited

Definition at line 316 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getDLikelihoodForASiteForARateClass(), bpp::AbstractHomogeneousTreeLikelihood::nbClasses_, and bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_.

Referenced by bpp::RHomogeneousTreeLikelihood::getD2LogLikelihoodForASite(), and bpp::RHomogeneousTreeLikelihood::getDLogLikelihoodForASite().

◆ getDLikelihoodForASiteForARateClass()

double RHomogeneousMixedTreeLikelihood::getDLikelihoodForASiteForARateClass	(	size_t	site,
		size_t	rateClass
	)		const

virtual

Reimplemented from bpp::RHomogeneousTreeLikelihood.

Definition at line 246 of file RHomogeneousMixedTreeLikelihood.cpp.

References probas_, and treeLikelihoodsContainer_.

◆ getDLogLikelihood()

double RHomogeneousTreeLikelihood::getDLogLikelihood ( ) const

virtualinherited

Definition at line 337 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getDLogLikelihoodForASite(), and bpp::AbstractHomogeneousTreeLikelihood::nbSites_.

◆ getDLogLikelihoodForASite()

double RHomogeneousTreeLikelihood::getDLogLikelihoodForASite ( size_t site ) const

virtualinherited

Definition at line 329 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getDLikelihoodForASite(), and bpp::RHomogeneousTreeLikelihood::getLikelihoodForASite().

Referenced by bpp::RHomogeneousTreeLikelihood::getDLogLikelihood().

◆ getFirstOrderDerivative()

double RHomogeneousTreeLikelihood::getFirstOrderDerivative	(	const std::string &	variable	)	const
throw	(	Exception
	)

inherited

Definition at line 350 of file RHomogeneousTreeLikelihood.cpp.

◆ getLikelihood()

double RHomogeneousTreeLikelihood::getLikelihood ( ) const

virtualinherited

Get the likelihood for the whole dataset.

Returns: The likelihood of the dataset.

Implements bpp::TreeLikelihood.

Definition at line 152 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getLikelihoodForASite(), and bpp::AbstractHomogeneousTreeLikelihood::nbSites_.

◆ getLikelihoodData() [1/2]

DRASRTreeLikelihoodData* bpp::RHomogeneousTreeLikelihood::getLikelihoodData ( )

inlinevirtualinherited

Returns: The underlying likelihood data structure.

Implements bpp::TreeLikelihood.

Definition at line 222 of file RHomogeneousTreeLikelihood.h.

References bpp::RHomogeneousTreeLikelihood::likelihoodData_.

◆ getLikelihoodData() [2/2]

const DRASRTreeLikelihoodData* bpp::RHomogeneousTreeLikelihood::getLikelihoodData ( ) const

inlinevirtualinherited

Returns: The underlying likelihood data structure.

Implements bpp::TreeLikelihood.

Definition at line 223 of file RHomogeneousTreeLikelihood.h.

References bpp::RHomogeneousTreeLikelihood::likelihoodData_.

◆ getLikelihoodForASite()

double RHomogeneousTreeLikelihood::getLikelihoodForASite ( size_t site ) const

virtualinherited

Get the likelihood for a site.

Parameters

site	The site index to analyse.

Returns: The likelihood for site site.

Implements bpp::TreeLikelihood.

Definition at line 182 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getLikelihoodForASiteForARateClass(), bpp::AbstractHomogeneousTreeLikelihood::nbClasses_, and bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_.

Referenced by bpp::RHomogeneousTreeLikelihood::getD2LogLikelihoodForASite(), bpp::RHomogeneousTreeLikelihood::getDLogLikelihoodForASite(), and bpp::RHomogeneousTreeLikelihood::getLikelihood().

◆ getLikelihoodForASiteForARateClass()

double RHomogeneousMixedTreeLikelihood::getLikelihoodForASiteForARateClass	(	size_t	site,
		size_t	rateClass
	)		const

virtual

Get the likelihood for a site knowing its rate class.

Parameters

site	The site index.
rateClass	The rate class index.

Returns: The likelihood for the specified site and rate class.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 202 of file RHomogeneousMixedTreeLikelihood.cpp.

References probas_, and treeLikelihoodsContainer_.

Referenced by getLogLikelihoodForASiteForARateClass().

◆ getLikelihoodForASiteForARateClassForAState()

double RHomogeneousMixedTreeLikelihood::getLikelihoodForASiteForARateClassForAState	(	size_t	site,
		size_t	rateClass,
		int	state
	)		const

virtual

Get the likelihood for a site knowing its rate class and its ancestral state.

Parameters

site	The site index.
rateClass	The rate class index.
state	The ancestral state.

Returns: The likelihood for the specified site and rate class and ancestral state.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 222 of file RHomogeneousMixedTreeLikelihood.cpp.

References probas_, and treeLikelihoodsContainer_.

Referenced by getLogLikelihoodForASiteForARateClassForAState().

◆ getLikelihoodForASiteForAState() [1/2]

double AbstractDiscreteRatesAcrossSitesTreeLikelihood::getLikelihoodForASiteForAState	(	size_t	site,
		int	state
	)		const

virtualinherited

Get the likelihood for a site and for a state.

Parameters

site	The site index to analyse.
state	The state to consider.

Returns: The likelihood for site site and state state.

Implements bpp::TreeLikelihood.

Definition at line 111 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getLikelihoodForASiteForAState() [2/2]

virtual double bpp::TreeLikelihood::getLikelihoodForASiteForAState	(	size_t	site,
		int	state
	)		const

pure virtualinherited

Get the likelihood for a site and for a state.

Parameters

site	The site index to analyse.
state	The state to consider.

Returns: The likelihood for site site and state state.

Implemented in bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood.

Referenced by bpp::AbstractTreeLikelihood::getLikelihoodForEachSiteForEachState().

◆ getLikelihoodForEachSite() [1/2]

virtual Vdouble bpp::TreeLikelihood::getLikelihoodForEachSite ( ) const

pure virtualinherited

Get the likelihood for each site.

Returns: A vector with all likelihoods for each site.

Implemented in bpp::AbstractTreeLikelihood.

◆ getLikelihoodForEachSite() [2/2]

Vdouble AbstractTreeLikelihood::getLikelihoodForEachSite ( ) const

virtualinherited

Get the likelihood for each site.

Returns: A vector with all likelihoods for each site.

Implements bpp::TreeLikelihood.

Definition at line 46 of file AbstractTreeLikelihood.cpp.

References bpp::TreeLikelihood::getLikelihoodForASite(), and bpp::AbstractTreeLikelihood::getNumberOfSites().

◆ getLikelihoodForEachSiteForEachRateClass()

VVdouble AbstractDiscreteRatesAcrossSitesTreeLikelihood::getLikelihoodForEachSiteForEachRateClass ( ) const

virtualinherited

Get the likelihood for each site and each rate class.

Returns: A two-dimension vector with all likelihoods.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 93 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getLikelihoodForEachSiteForEachRateClassForEachState()

VVVdouble AbstractDiscreteRatesAcrossSitesTreeLikelihood::getLikelihoodForEachSiteForEachRateClassForEachState ( ) const

virtualinherited

Get the likelihood for each site and each rate class and each state.

Returns: A three-dimension vector with all likelihoods.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 156 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getLikelihoodForEachSiteForEachState() [1/2]

virtual VVdouble bpp::TreeLikelihood::getLikelihoodForEachSiteForEachState ( ) const

pure virtualinherited

Get the likelihood for each site and for each state.

Returns: A 2d vector with all likelihoods for each site and for each state.

Implemented in bpp::AbstractTreeLikelihood.

◆ getLikelihoodForEachSiteForEachState() [2/2]

VVdouble AbstractTreeLikelihood::getLikelihoodForEachSiteForEachState ( ) const

virtualinherited

Get the likelihood for each site and for each state.

Returns: A 2d vector with all likelihoods for each site and for each state.

Implements bpp::TreeLikelihood.

Definition at line 64 of file AbstractTreeLikelihood.cpp.

References bpp::TreeLikelihood::getLikelihoodForASiteForAState(), bpp::AbstractTreeLikelihood::getNumberOfSites(), and bpp::TreeLikelihood::getNumberOfStates().

◆ getLogLikelihood()

double RHomogeneousTreeLikelihood::getLogLikelihood ( ) const

virtualinherited

Get the logarithm of the likelihood for the whole dataset.

Returns: The logarithm of the likelihood of the dataset.

Implements bpp::TreeLikelihood.

Definition at line 164 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getLogLikelihoodForASite(), and bpp::AbstractHomogeneousTreeLikelihood::nbSites_.

Referenced by fireParameterChanged(), and bpp::RHomogeneousTreeLikelihood::fireParameterChanged().

◆ getLogLikelihoodForASite()

double RHomogeneousTreeLikelihood::getLogLikelihoodForASite ( size_t site ) const

virtualinherited

Get the logarithm of the likelihood for a site.

Parameters

site	The site index to analyse.

Returns: The logarithm of the likelihood for site site.

Implements bpp::TreeLikelihood.

Definition at line 194 of file RHomogeneousTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::getLikelihoodForASiteForARateClass(), bpp::AbstractHomogeneousTreeLikelihood::nbClasses_, and bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_.

Referenced by bpp::RHomogeneousTreeLikelihood::getLogLikelihood().

◆ getLogLikelihoodForASiteForARateClass()

double RHomogeneousMixedTreeLikelihood::getLogLikelihoodForASiteForARateClass	(	size_t	site,
		size_t	rateClass
	)		const

virtual

Get the logarithm of the likelihood for a site knowing its rate class.

Parameters

site	The site index.
rateClass	The rate class index.

Returns: The logarithm of the likelihood for the specified site and rate class.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 214 of file RHomogeneousMixedTreeLikelihood.cpp.

References getLikelihoodForASiteForARateClass().

◆ getLogLikelihoodForASiteForARateClassForAState()

double RHomogeneousMixedTreeLikelihood::getLogLikelihoodForASiteForARateClassForAState	(	size_t	site,
		size_t	rateClass,
		int	state
	)		const

virtual

Get the logarithm of the likelihood for a site knowing its rate class and its ancestral state.

Parameters

site	The site index.
rateClass	The rate class index.
state	The ancestral state.

Returns: The logarithm of the likelihood for the specified site and rate class and ancestral state..

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 234 of file RHomogeneousMixedTreeLikelihood.cpp.

References getLikelihoodForASiteForARateClassForAState().

◆ getLogLikelihoodForASiteForAState() [1/2]

double AbstractDiscreteRatesAcrossSitesTreeLikelihood::getLogLikelihoodForASiteForAState	(	size_t	site,
		int	state
	)		const

virtualinherited

Get the logarithm of the likelihood for a site and for a state.

Parameters

site	The site index to analyse.
state	The state to consider.

Returns: The logarithm of the likelihood for site site and state state.

Implements bpp::TreeLikelihood.

Definition at line 124 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getLogLikelihoodForASiteForAState() [2/2]

virtual double bpp::TreeLikelihood::getLogLikelihoodForASiteForAState	(	size_t	site,
		int	state
	)		const

pure virtualinherited

Get the logarithm of the likelihood for a site and for a state.

Parameters

site	The site index to analyse.
state	The state to consider.

Returns: The logarithm of the likelihood for site site and state state.

Implemented in bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood.

Referenced by bpp::AbstractTreeLikelihood::getLogLikelihoodForEachSiteForEachState().

◆ getLogLikelihoodForEachSite() [1/2]

virtual Vdouble bpp::TreeLikelihood::getLogLikelihoodForEachSite ( ) const

pure virtualinherited

Get the logarithm of the likelihood for each site.

Returns: A vector with all log likelihoods for each site.

Implemented in bpp::AbstractTreeLikelihood.

◆ getLogLikelihoodForEachSite() [2/2]

Vdouble AbstractTreeLikelihood::getLogLikelihoodForEachSite ( ) const

virtualinherited

Get the logarithm of the likelihood for each site.

Returns: A vector with all log likelihoods for each site.

Implements bpp::TreeLikelihood.

Definition at line 55 of file AbstractTreeLikelihood.cpp.

References bpp::TreeLikelihood::getLogLikelihoodForASite(), and bpp::AbstractTreeLikelihood::getNumberOfSites().

◆ getLogLikelihoodForEachSiteForEachRateClass()

VVdouble AbstractDiscreteRatesAcrossSitesTreeLikelihood::getLogLikelihoodForEachSiteForEachRateClass ( ) const

virtualinherited

Get the logarithm of the likelihood for each site and each rate class.

Returns: A two-dimension vector with all log likelihoods: V[i][j] = likelihood of site i and rate class j.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 138 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getLogLikelihoodForEachSiteForEachRateClassForEachState()

VVVdouble AbstractDiscreteRatesAcrossSitesTreeLikelihood::getLogLikelihoodForEachSiteForEachRateClassForEachState ( ) const

virtualinherited

Get the logarithm of the likelihood for each site and each rate class and each state.

Returns: A three-dimension vector with all log likelihoods: V[i][j][k} = likelihood of site i and rate class j and state k.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 179 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getLogLikelihoodForEachSiteForEachState() [1/2]

virtual VVdouble bpp::TreeLikelihood::getLogLikelihoodForEachSiteForEachState ( ) const

pure virtualinherited

Get the logarithm of the likelihood for each site and for each state.

Returns: A 2d vector with all log likelihoods for each site and for each state.

Implemented in bpp::AbstractTreeLikelihood.

◆ getLogLikelihoodForEachSiteForEachState() [2/2]

VVdouble AbstractTreeLikelihood::getLogLikelihoodForEachSiteForEachState ( ) const

virtualinherited

Get the logarithm of the likelihood for each site and for each state.

Returns: A 2d vector with all log likelihoods for each site and for each state.

Implements bpp::TreeLikelihood.

Definition at line 81 of file AbstractTreeLikelihood.cpp.

References bpp::TreeLikelihood::getLogLikelihoodForASiteForAState(), bpp::AbstractTreeLikelihood::getNumberOfSites(), and bpp::TreeLikelihood::getNumberOfStates().

◆ getMaximumBranchLength()

virtual double bpp::AbstractHomogeneousTreeLikelihood::getMaximumBranchLength ( ) const

inlinevirtualinherited

Definition at line 254 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::maximumBrLen_.

◆ getMinimumBranchLength()

virtual double bpp::AbstractHomogeneousTreeLikelihood::getMinimumBranchLength ( ) const

inlinevirtualinherited

Definition at line 253 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::minimumBrLen_.

◆ getNewBranchModelIterator()

ConstBranchModelIterator* bpp::AbstractHomogeneousTreeLikelihood::getNewBranchModelIterator ( int nodeId ) const

inlinevirtualinherited

Implements bpp::TreeLikelihood.

Definition at line 188 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::model_, and bpp::AbstractHomogeneousTreeLikelihood::nbDistinctSites_.

◆ getNewSiteModelIterator()

ConstSiteModelIterator* bpp::AbstractHomogeneousTreeLikelihood::getNewSiteModelIterator ( size_t siteIndex ) const

inlinevirtualinherited

Implements bpp::TreeLikelihood.

Definition at line 193 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::model_, and bpp::AbstractTreeLikelihood::tree_.

◆ getNonDerivableParameters() [1/2]

ParameterList AbstractDiscreteRatesAcrossSitesTreeLikelihood::getNonDerivableParameters ( ) const

virtualinherited

All non derivable parameters.

Usually, this contains all substitution model parameters and rate distribution.

Returns: A ParameterList.

Implements bpp::TreeLikelihood.

Reimplemented in bpp::RHomogeneousClockTreeLikelihood.

Definition at line 82 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getNonDerivableParameters() [2/2]

virtual ParameterList bpp::TreeLikelihood::getNonDerivableParameters ( ) const

pure virtualinherited

All non derivable parameters.

Usually, this contains all substitution model parameters and rate distribution.

Returns: A ParameterList.

Implemented in bpp::RHomogeneousClockTreeLikelihood, and bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood.

◆ getNumberOfClasses()

size_t bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::getNumberOfClasses ( ) const

inlinevirtualinherited

Get the number of classes.

Returns: The Number of classes.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 108 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.h.

References bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_.

◆ getNumberOfSites() [1/2]

size_t bpp::AbstractTreeLikelihood::getNumberOfSites ( ) const

inlinevirtualinherited

Get the number of sites in the dataset.

Returns: the number of sites in the dataset.

Implements bpp::TreeLikelihood.

Definition at line 290 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::data_.

Referenced by bpp::AbstractTreeLikelihood::getLikelihoodForEachSite(), bpp::AbstractTreeLikelihood::getLikelihoodForEachSiteForEachState(), bpp::AbstractTreeLikelihood::getLogLikelihoodForEachSite(), and bpp::AbstractTreeLikelihood::getLogLikelihoodForEachSiteForEachState().

◆ getNumberOfSites() [2/2]

virtual size_t bpp::TreeLikelihood::getNumberOfSites ( ) const

pure virtualinherited

Get the number of sites in the dataset.

Returns: the number of sites in the dataset.

Implemented in bpp::AbstractTreeLikelihood.

Referenced by bpp::SubstitutionMappingTools::getNormalizationsPerBranch().

◆ getNumberOfStates()

size_t bpp::AbstractHomogeneousTreeLikelihood::getNumberOfStates ( ) const

inlinevirtualinherited

Returns: the number of model states of the underlying Markov chain.

Implements bpp::TreeLikelihood.

Definition at line 165 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::SubstitutionModel::getNumberOfStates(), and bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getPosteriorProbabilitiesOfEachRate()

VVdouble AbstractDiscreteRatesAcrossSitesTreeLikelihood::getPosteriorProbabilitiesOfEachRate ( ) const

virtualinherited

Get the posterior probability for each site of belonging to a particular rate class.

Returns: A two-dimension vector with all posterior probabilities: V[i][j] = probablity for site i of belonging to rate class j.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 202 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getPosteriorRateOfEachSite()

Vdouble AbstractDiscreteRatesAcrossSitesTreeLikelihood::getPosteriorRateOfEachSite ( ) const

virtualinherited

Get the posterior rate, i.e. averaged over all classes and weighted with posterior probabilities, for each site.

Returns: A vector with all rates.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 220 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getRateClassWithMaxPostProbOfEachSite()

vector< size_t > AbstractDiscreteRatesAcrossSitesTreeLikelihood::getRateClassWithMaxPostProbOfEachSite ( ) const

virtualinherited

Get the posterior rate class (the one with maximum posterior probability) for each site.

Returns: A vector with all rate classes indexes.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 239 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getRateDistribution() [1/2]

const DiscreteDistribution* bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::getRateDistribution ( ) const

inlinevirtualinherited

Get the rate distribution used for the computation.

Returns: A const pointer toward the rate distribution of this instance.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 106 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.h.

References bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_.

◆ getRateDistribution() [2/2]

DiscreteDistribution* bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::getRateDistribution ( )

inlinevirtualinherited

Get the rate distribution used for the computation.

Returns: A pointer toward the rate distribution of this instance.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 107 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.h.

References bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_.

◆ getRateDistributionParameters()

ParameterList bpp::AbstractHomogeneousTreeLikelihood::getRateDistributionParameters ( ) const

inlinevirtualinherited

Get the parameters associated to the rate distirbution.

Returns: A ParameterList object with all rate distribution parameters.

Reimplemented from bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 179 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::getRateDistributionParameters().

◆ getRateWithMaxPostProbOfEachSite()

Vdouble AbstractDiscreteRatesAcrossSitesTreeLikelihood::getRateWithMaxPostProbOfEachSite ( ) const

virtualinherited

Get the posterior rate (the one with maximum posterior probability) for each site.

Returns: A vector with all rate classes indexes.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 253 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getRootFrequencies()

const std::vector<double>& bpp::AbstractHomogeneousTreeLikelihood::getRootFrequencies ( size_t siteIndex ) const

inlinevirtualinherited

Get the values of the frequencies for each state in the alphabet at the root node.

For reversible models, these are the equilibrium frequencies. For non-reversible models, these usually are distinct parameters.

For models without site partitioning, the set of frequencies is the same for all positions. For partition models, the frequencies may differ from one site to another.

Parameters

siteIndex The index of the alignment position.

See also: getSiteIndex

Returns: A vector with ancestral frequencies for each state in the alphabet;

Implements bpp::TreeLikelihood.

Definition at line 184 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::SubstitutionModel::getFrequencies(), and bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getSecondOrderDerivative() [1/2]

double RHomogeneousTreeLikelihood::getSecondOrderDerivative	(	const std::string &	variable	)	const
throw	(	Exception
	)

inherited

Definition at line 601 of file RHomogeneousTreeLikelihood.cpp.

◆ getSecondOrderDerivative() [2/2]

double bpp::RHomogeneousTreeLikelihood::getSecondOrderDerivative	(	const std::string &	variable1,
		const std::string &	variable2
	)		const
throw	(	Exception
	)

inlineinherited

Definition at line 217 of file RHomogeneousTreeLikelihood.h.

◆ getSiteIndex()

size_t bpp::RHomogeneousTreeLikelihood::getSiteIndex	(	size_t	site	)	const
throw	(	IndexOutOfBoundsException
	)

inlinevirtualinherited

Get the index (used for inner computations) of a given site (original alignment column).

Parameters

site	An alignment position.

Returns: The site index corresponding to the given input alignment position.

Implements bpp::TreeLikelihood.

Definition at line 201 of file RHomogeneousTreeLikelihood.h.

References bpp::DRASRTreeLikelihoodData::getRootArrayPosition(), and bpp::RHomogeneousTreeLikelihood::likelihoodData_.

◆ getSubstitutionModel() [1/4]

const SubstitutionModel* bpp::AbstractHomogeneousTreeLikelihood::getSubstitutionModel ( ) const

inlinevirtualinherited

Returns: The substitution model attached to this instance.

Implements bpp::HomogeneousTreeLikelihood.

Definition at line 207 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getSubstitutionModel() [2/4]

const SubstitutionModel* bpp::AbstractHomogeneousTreeLikelihood::getSubstitutionModel	(	int	nodeId,
		size_t	siteIndex
	)		const
throw	(	NodeNotFoundException
	)

inlinevirtualinherited

Get the substitution model associated to a given node and alignment column.

Parameters

nodeId	The id of the request node.
siteIndex	The index of the alignment position.

See also: getSiteIndex

Returns: A pointer toward the corresponding model.

Exceptions

NodeNotFoundException This exception may be thrown if the node is not found (depending on the implementation).

Implements bpp::TreeLikelihood.

Definition at line 208 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getSubstitutionModel() [3/4]

SubstitutionModel* bpp::AbstractHomogeneousTreeLikelihood::getSubstitutionModel ( )

inlinevirtualinherited

Returns: The substitution model attached to this instance.

Implements bpp::HomogeneousTreeLikelihood.

Definition at line 210 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getSubstitutionModel() [4/4]

SubstitutionModel* bpp::AbstractHomogeneousTreeLikelihood::getSubstitutionModel	(	int	nodeId,
		size_t	siteIndex
	)
throw	(	NodeNotFoundException
	)

inlinevirtualinherited

Get the substitution model associated to a given node and alignment column.

Parameters

nodeId	The id of the request node.
siteIndex	The index of the alignment position.

See also: getSiteIndex

Returns: A pointer toward the corresponding model.

Exceptions

NodeNotFoundException This exception may be thrown if the node is not found (depending on the implementation).

Implements bpp::TreeLikelihood.

Definition at line 211 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getSubstitutionModelParameters()

ParameterList AbstractHomogeneousTreeLikelihood::getSubstitutionModelParameters ( ) const

virtualinherited

Get the parameters associated to substitution model(s).

Returns: A ParameterList.

Implements bpp::TreeLikelihood.

Definition at line 259 of file AbstractHomogeneousTreeLikelihood.cpp.

References bpp::AbstractTreeLikelihood::initialized_, and bpp::AbstractHomogeneousTreeLikelihood::model_.

◆ getTransitionProbabilities() [1/2]

VVdouble AbstractDiscreteRatesAcrossSitesTreeLikelihood::getTransitionProbabilities	(	int	nodeId,
		size_t	siteIndex
	)		const

virtualinherited

Retrieves all Pij(t) for a particular branch, defined by the upper node and site.

These intermediate results may be used by other methods.

Parameters

nodeId	The node defining the branch of interest.
siteIndex	The index of the alignment position.

See also: getSiteIndex

Returns: An array of dimension 2, where a[x][y] is the probability of substituting from x to y.

Implements bpp::TreeLikelihood.

Definition at line 311 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

◆ getTransitionProbabilities() [2/2]

virtual VVdouble bpp::TreeLikelihood::getTransitionProbabilities	(	int	nodeId,
		size_t	siteIndex
	)		const

pure virtualinherited

Retrieves all Pij(t) for a particular branch, defined by the upper node and site.

These intermediate results may be used by other methods.

Parameters

nodeId	The node defining the branch of interest.
siteIndex	The index of the alignment position.

See also: getSiteIndex

Returns: An array of dimension 2, where a[x][y] is the probability of substituting from x to y.

Implemented in bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood.

◆ getTransitionProbabilitiesPerRateClass()

VVVdouble bpp::AbstractHomogeneousTreeLikelihood::getTransitionProbabilitiesPerRateClass	(	int	nodeId,
		size_t	siteIndex
	)		const

inlinevirtualinherited

Retrieves all Pij(t) for a particular branch, defined by the upper node.

These intermediate results may be used by other methods.

Parameters

nodeId	The node defining the branch of interest.
siteIndex	The position in the alignment.

Returns: An array of dimension 3, where a[c][x][y] is the probability of substituting from x to y while being in rate class c.

Implements bpp::DiscreteRatesAcrossSitesTreeLikelihood.

Definition at line 186 of file AbstractHomogeneousTreeLikelihood.h.

References bpp::AbstractHomogeneousTreeLikelihood::pxy_.

◆ getTree() [1/2]

const Tree& bpp::AbstractTreeLikelihood::getTree ( ) const

inlinevirtualinherited

Get the tree (topology and branch lengths).

Returns: The tree of this TreeLikelihood object.

Implements bpp::TreeLikelihood.

Definition at line 291 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::tree_.

Referenced by bpp::NNIHomogeneousTreeLikelihood::getTopology(), and bpp::RNonHomogeneousMixedTreeLikelihood::init().

◆ getTree() [2/2]

virtual const Tree& bpp::TreeLikelihood::getTree ( ) const

pure virtualinherited

Get the tree (topology and branch lengths).

Returns: The tree of this TreeLikelihood object.

Implemented in bpp::AbstractTreeLikelihood.

Referenced by bpp::GlobalClockTreeLikelihoodFunctionWrapper::fireParameterChanged(), bpp::SubstitutionMappingTools::getNormalizedCountsPerBranch(), bpp::DRTreeLikelihoodTools::getPosteriorProbabilitiesForEachStateForEachRate(), and bpp::GlobalClockTreeLikelihoodFunctionWrapper::initParameters_().

◆ getValue()

double RHomogeneousTreeLikelihood::getValue	(		)	const
throw	(	Exception
	)

inherited

Definition at line 290 of file RHomogeneousTreeLikelihood.cpp.

References bpp::AbstractTreeLikelihood::isInitialized(), and bpp::RHomogeneousTreeLikelihood::minusLogLik_.

◆ initBranchLengthsParameters()

void AbstractHomogeneousTreeLikelihood::initBranchLengthsParameters ( )

virtualinherited

Reimplemented in bpp::RHomogeneousClockTreeLikelihood.

Definition at line 307 of file AbstractHomogeneousTreeLikelihood.cpp.

References bpp::AbstractHomogeneousTreeLikelihood::brLenConstraint_, bpp::AbstractHomogeneousTreeLikelihood::brLenParameters_, bpp::AbstractHomogeneousTreeLikelihood::maximumBrLen_, bpp::AbstractHomogeneousTreeLikelihood::minimumBrLen_, bpp::AbstractHomogeneousTreeLikelihood::nbNodes_, and bpp::AbstractHomogeneousTreeLikelihood::nodes_.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::initParameters(), bpp::AbstractHomogeneousTreeLikelihood::setMaximumBranchLength(), and bpp::AbstractHomogeneousTreeLikelihood::setMinimumBranchLength().

◆ initialize()

void RHomogeneousMixedTreeLikelihood::initialize	(		)
throw	(	Exception
	)

virtual

Init the likelihood object.

This method is used to initialize all parameters. It is typically called after the constructor and the setData method. It contains virtual methods that can't be called in the constructor.

Exceptions

Exception if something bad happened, for instance if no data are associated to the likelihood function.

Reimplemented from bpp::AbstractHomogeneousTreeLikelihood.

Definition at line 142 of file RHomogeneousMixedTreeLikelihood.cpp.

References bpp::AbstractHomogeneousTreeLikelihood::initialize(), and treeLikelihoodsContainer_.

◆ initParameters()

void AbstractHomogeneousTreeLikelihood::initParameters ( )

virtualinherited

This builds the parameters list from all parametrizable objects, i.e. substitution model, rate distribution and tree.

Definition at line 268 of file AbstractHomogeneousTreeLikelihood.cpp.

References bpp::AbstractHomogeneousTreeLikelihood::brLenParameters_, bpp::AbstractHomogeneousTreeLikelihood::initBranchLengthsParameters(), bpp::AbstractHomogeneousTreeLikelihood::model_, and bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::initialize().

◆ isInitialized() [1/2]

virtual bool bpp::TreeLikelihood::isInitialized ( ) const

pure virtualinherited

Returns: 'true' is the likelihood function has been initialized.

Implemented in bpp::AbstractTreeLikelihood.

◆ isInitialized() [2/2]

bool bpp::AbstractTreeLikelihood::isInitialized ( ) const

inlinevirtualinherited

Returns: 'true' is the likelihood function has been initialized.

Implements bpp::TreeLikelihood.

Definition at line 297 of file AbstractTreeLikelihood.h.

References bpp::AbstractTreeLikelihood::initialized_.

Referenced by bpp::DRHomogeneousTreeLikelihood::getValue(), bpp::DRNonHomogeneousTreeLikelihood::getValue(), bpp::RHomogeneousTreeLikelihood::getValue(), and bpp::RNonHomogeneousTreeLikelihood::getValue().

◆ operator=()

RHomogeneousMixedTreeLikelihood & RHomogeneousMixedTreeLikelihood::operator= ( const RHomogeneousMixedTreeLikelihood & lik )

Definition at line 104 of file RHomogeneousMixedTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::operator=(), probas_, and treeLikelihoodsContainer_.

◆ resetLikelihoodArray()

void AbstractDiscreteRatesAcrossSitesTreeLikelihood::resetLikelihoodArray ( VVVdouble & likelihoodArray )

staticinherited

Set all conditional likelihoods to 1.

Parameters

likelihoodArray the likelihood array.

Definition at line 267 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.cpp.

Referenced by bpp::DRHomogeneousTreeLikelihood::computeLikelihoodFromArrays(), bpp::DRNonHomogeneousTreeLikelihood::computeLikelihoodFromArrays(), bpp::DRHomogeneousTreeLikelihood::computeRootLikelihood(), bpp::DRNonHomogeneousTreeLikelihood::computeRootLikelihood(), bpp::DRHomogeneousTreeLikelihood::computeSubtreeLikelihoodPrefix(), bpp::DRNonHomogeneousTreeLikelihood::computeSubtreeLikelihoodPrefix(), bpp::DRHomogeneousTreeLikelihood::resetLikelihoodArrays(), and bpp::DRNonHomogeneousTreeLikelihood::resetLikelihoodArrays().

◆ setData()

void RHomogeneousMixedTreeLikelihood::setData	(	const SiteContainer &	sites	)
throw	(	Exception
	)

virtual

Set the dataset for which the likelihood must be evaluated.

Parameters

sites The data set to use.

Implements bpp::TreeLikelihood.

Definition at line 152 of file RHomogeneousMixedTreeLikelihood.cpp.

References bpp::RHomogeneousTreeLikelihood::setData().

◆ setMaximumBranchLength()

virtual void bpp::RHomogeneousMixedTreeLikelihood::setMaximumBranchLength	(	double	brlen	)
throw	(	Exception
	)

inlineprotectedvirtual

Reimplemented from bpp::AbstractHomogeneousTreeLikelihood.

Definition at line 202 of file RHomogeneousMixedTreeLikelihood.h.

References treeLikelihoodsContainer_.

◆ setMinimumBranchLength()

virtual void bpp::RHomogeneousMixedTreeLikelihood::setMinimumBranchLength	(	double	brlen	)
throw	(	Exception
	)

inlineprotectedvirtual

Reimplemented from bpp::AbstractHomogeneousTreeLikelihood.

Definition at line 197 of file RHomogeneousMixedTreeLikelihood.h.

References treeLikelihoodsContainer_.

◆ setParameters()

void RHomogeneousTreeLikelihood::setParameters	(	const ParameterList &	parameters	)
throw	(	ParameterNotFoundException,
		ConstraintException
	)

inherited

Implements the Function interface.

Update the parameter list and call the applyParameters() method. Then compute the likelihoods at each node (computeLikelihood() method) and call the getLogLikelihood() method.

If a subset of the whole parameter list is passed to the function, only these parameters are updated and the other remain constant (i.e. equal to their last value).

Parameters

parameters The parameter list to pass to the function.

Definition at line 250 of file RHomogeneousTreeLikelihood.cpp.

◆ setSubstitutionModel()

void AbstractHomogeneousTreeLikelihood::setSubstitutionModel	(	SubstitutionModel *	model	)
throw	(	Exception
	)

virtualinherited

Returns: Set the substitution model for this instance.

Exceptions

Exception If the model could not be set (for instance, because of a wrong alphabet type).

Implements bpp::HomogeneousTreeLikelihood.

Definition at line 172 of file AbstractHomogeneousTreeLikelihood.cpp.

References bpp::Node::getId().

Member Data Documentation

◆ brLenConstraint_

std::auto_ptr<Constraint> bpp::AbstractHomogeneousTreeLikelihood::brLenConstraint_

protectedinherited

Definition at line 118 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::initBranchLengthsParameters(), bpp::AbstractHomogeneousTreeLikelihood::operator=(), bpp::AbstractHomogeneousTreeLikelihood::setMaximumBranchLength(), and bpp::AbstractHomogeneousTreeLikelihood::setMinimumBranchLength().

◆ brLenParameters_

ParameterList bpp::AbstractHomogeneousTreeLikelihood::brLenParameters_

protectedinherited

Definition at line 89 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::getBranchLengthsParameters(), bpp::AbstractHomogeneousTreeLikelihood::initBranchLengthsParameters(), bpp::AbstractHomogeneousTreeLikelihood::initParameters(), and bpp::AbstractHomogeneousTreeLikelihood::operator=().

◆ computeFirstOrderDerivatives_

bool bpp::AbstractTreeLikelihood::computeFirstOrderDerivatives_

protectedinherited

Definition at line 227 of file AbstractTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::computeTransitionProbabilitiesForNode(), bpp::RNonHomogeneousMixedTreeLikelihood::computeTransitionProbabilitiesForNode(), bpp::AbstractNonHomogeneousTreeLikelihood::computeTransitionProbabilitiesForNode(), bpp::AbstractTreeLikelihood::enableDerivatives(), bpp::AbstractTreeLikelihood::enableFirstOrderDerivatives(), bpp::AbstractTreeLikelihood::enableSecondOrderDerivatives(), bpp::DRHomogeneousTreeLikelihood::fireParameterChanged(), bpp::DRNonHomogeneousTreeLikelihood::fireParameterChanged(), bpp::TwoTreeLikelihood::fireParameterChanged(), and bpp::AbstractTreeLikelihood::operator=().

◆ computeSecondOrderDerivatives_

bool bpp::AbstractTreeLikelihood::computeSecondOrderDerivatives_

protectedinherited

Definition at line 228 of file AbstractTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::computeTransitionProbabilitiesForNode(), bpp::RNonHomogeneousMixedTreeLikelihood::computeTransitionProbabilitiesForNode(), bpp::AbstractNonHomogeneousTreeLikelihood::computeTransitionProbabilitiesForNode(), bpp::AbstractTreeLikelihood::enableDerivatives(), bpp::AbstractTreeLikelihood::enableSecondOrderDerivatives(), bpp::DRHomogeneousTreeLikelihood::fireParameterChanged(), bpp::DRNonHomogeneousTreeLikelihood::fireParameterChanged(), bpp::TwoTreeLikelihood::fireParameterChanged(), and bpp::AbstractTreeLikelihood::operator=().

◆ d2pxy_

std::map<int, VVVdouble> bpp::AbstractHomogeneousTreeLikelihood::d2pxy_

mutableprotectedinherited

Definition at line 95 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::computeTransitionProbabilitiesForNode(), bpp::RHomogeneousTreeLikelihood::computeTreeD2Likelihood(), bpp::DRHomogeneousTreeLikelihood::computeTreeD2LikelihoodAtNode(), and bpp::AbstractHomogeneousTreeLikelihood::operator=().

◆ data_

const SiteContainer* bpp::AbstractTreeLikelihood::data_

protectedinherited

Definition at line 225 of file AbstractTreeLikelihood.h.

Referenced by bpp::AbstractTreeLikelihood::AbstractTreeLikelihood(), bpp::AbstractTreeLikelihood::getAlphabet(), bpp::AbstractTreeLikelihood::getData(), bpp::AbstractTreeLikelihood::getNumberOfSites(), bpp::AbstractHomogeneousTreeLikelihood::initialize(), bpp::AbstractNonHomogeneousTreeLikelihood::initialize(), bpp::AbstractTreeLikelihood::operator=(), and bpp::AbstractTreeLikelihood::~AbstractTreeLikelihood().

◆ dpxy_

std::map<int, VVVdouble> bpp::AbstractHomogeneousTreeLikelihood::dpxy_

mutableprotectedinherited

Definition at line 93 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::computeTransitionProbabilitiesForNode(), bpp::RHomogeneousTreeLikelihood::computeTreeDLikelihood(), bpp::DRHomogeneousTreeLikelihood::computeTreeDLikelihoodAtNode(), and bpp::AbstractHomogeneousTreeLikelihood::operator=().

◆ initialized_

bool bpp::AbstractTreeLikelihood::initialized_

protectedinherited

Definition at line 229 of file AbstractTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::applyParameters(), bpp::AbstractNonHomogeneousTreeLikelihood::applyParameters(), bpp::TwoTreeLikelihood::getBranchLengthsParameters(), bpp::AbstractHomogeneousTreeLikelihood::getBranchLengthsParameters(), bpp::AbstractNonHomogeneousTreeLikelihood::getBranchLengthsParameters(), bpp::TwoTreeLikelihood::getSubstitutionModelParameters(), bpp::AbstractHomogeneousTreeLikelihood::getSubstitutionModelParameters(), bpp::AbstractNonHomogeneousTreeLikelihood::getSubstitutionModelParameters(), bpp::TwoTreeLikelihood::initialize(), bpp::AbstractHomogeneousTreeLikelihood::initialize(), bpp::AbstractNonHomogeneousTreeLikelihood::initialize(), bpp::AbstractTreeLikelihood::initialize(), bpp::AbstractTreeLikelihood::isInitialized(), and bpp::AbstractTreeLikelihood::operator=().

◆ maximumBrLen_

double bpp::AbstractHomogeneousTreeLikelihood::maximumBrLen_

protectedinherited

Definition at line 117 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::getMaximumBranchLength(), bpp::AbstractHomogeneousTreeLikelihood::initBranchLengthsParameters(), bpp::AbstractHomogeneousTreeLikelihood::operator=(), bpp::AbstractHomogeneousTreeLikelihood::setMaximumBranchLength(), and bpp::AbstractHomogeneousTreeLikelihood::setMinimumBranchLength().

◆ minimumBrLen_

double bpp::AbstractHomogeneousTreeLikelihood::minimumBrLen_

protectedinherited

Definition at line 116 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::getMinimumBranchLength(), bpp::AbstractHomogeneousTreeLikelihood::initBranchLengthsParameters(), bpp::AbstractHomogeneousTreeLikelihood::operator=(), bpp::AbstractHomogeneousTreeLikelihood::setMaximumBranchLength(), and bpp::AbstractHomogeneousTreeLikelihood::setMinimumBranchLength().

◆ minusLogLik_

double bpp::RHomogeneousTreeLikelihood::minusLogLik_

protectedinherited

Definition at line 90 of file RHomogeneousTreeLikelihood.h.

Referenced by fireParameterChanged(), bpp::RHomogeneousTreeLikelihood::fireParameterChanged(), bpp::RHomogeneousTreeLikelihood::getValue(), and bpp::RHomogeneousTreeLikelihood::operator=().

◆ model_

SubstitutionModel* bpp::AbstractHomogeneousTreeLikelihood::model_

protectedinherited

Definition at line 88 of file AbstractHomogeneousTreeLikelihood.h.

◆ nbClasses_

size_t bpp::AbstractHomogeneousTreeLikelihood::nbClasses_

protectedinherited

Definition at line 108 of file AbstractHomogeneousTreeLikelihood.h.

◆ nbDistinctSites_

size_t bpp::AbstractHomogeneousTreeLikelihood::nbDistinctSites_

protectedinherited

Definition at line 108 of file AbstractHomogeneousTreeLikelihood.h.

◆ nbNodes_

size_t bpp::AbstractHomogeneousTreeLikelihood::nbNodes_

protectedinherited

Definition at line 108 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::applyParameters(), bpp::AbstractHomogeneousTreeLikelihood::computeAllTransitionProbabilities(), bpp::DRHomogeneousTreeLikelihood::computeTreeD2Likelihoods(), bpp::DRHomogeneousTreeLikelihood::computeTreeDLikelihoods(), bpp::AbstractHomogeneousTreeLikelihood::initBranchLengthsParameters(), and bpp::AbstractHomogeneousTreeLikelihood::operator=().

◆ nbSites_

size_t bpp::AbstractHomogeneousTreeLikelihood::nbSites_

protectedinherited

Definition at line 108 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::RHomogeneousTreeLikelihood::getD2LogLikelihood(), bpp::RHomogeneousTreeLikelihood::getDLogLikelihood(), bpp::RHomogeneousTreeLikelihood::getLikelihood(), bpp::RHomogeneousTreeLikelihood::getLogLikelihood(), and bpp::AbstractHomogeneousTreeLikelihood::operator=().

◆ nbStates_

size_t bpp::AbstractHomogeneousTreeLikelihood::nbStates_

protectedinherited

Definition at line 108 of file AbstractHomogeneousTreeLikelihood.h.

◆ nodes_

std::vector<Node*> bpp::AbstractHomogeneousTreeLikelihood::nodes_

protectedinherited

Pointer toward all nodes in the tree.

The position in the array is the number used in the parameter name. This may be different from the node id, unless you used the resetNodeId method on the input tree.

Definition at line 105 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::AbstractHomogeneousTreeLikelihood(), bpp::AbstractHomogeneousTreeLikelihood::applyParameters(), bpp::AbstractHomogeneousTreeLikelihood::computeAllTransitionProbabilities(), bpp::RHomogeneousTreeLikelihood::computeTreeD2Likelihood(), bpp::DRHomogeneousTreeLikelihood::computeTreeD2Likelihoods(), bpp::RHomogeneousTreeLikelihood::computeTreeDLikelihood(), bpp::DRHomogeneousTreeLikelihood::computeTreeDLikelihoods(), bpp::DRHomogeneousTreeLikelihood::fireParameterChanged(), bpp::RHomogeneousTreeLikelihood::fireParameterChanged(), bpp::AbstractHomogeneousTreeLikelihood::initBranchLengthsParameters(), and bpp::AbstractHomogeneousTreeLikelihood::operator=().

◆ probas_

std::vector<double> bpp::RHomogeneousMixedTreeLikelihood::probas_

private

Definition at line 65 of file RHomogeneousMixedTreeLikelihood.h.

Referenced by fireParameterChanged(), getD2LikelihoodForASiteForARateClass(), getDLikelihoodForASiteForARateClass(), getLikelihoodForASiteForARateClass(), getLikelihoodForASiteForARateClassForAState(), operator=(), and RHomogeneousMixedTreeLikelihood().

◆ pxy_

std::map<int, VVVdouble> bpp::AbstractHomogeneousTreeLikelihood::pxy_

mutableprotectedinherited

Definition at line 91 of file AbstractHomogeneousTreeLikelihood.h.

◆ rateDistribution_

DiscreteDistribution* bpp::AbstractDiscreteRatesAcrossSitesTreeLikelihood::rateDistribution_

protectedinherited

Definition at line 61 of file AbstractDiscreteRatesAcrossSitesTreeLikelihood.h.

◆ rootFreqs_

std::vector<double> bpp::AbstractHomogeneousTreeLikelihood::rootFreqs_

protectedinherited

Definition at line 97 of file AbstractHomogeneousTreeLikelihood.h.

◆ tree_

TreeTemplate<Node>* bpp::AbstractTreeLikelihood::tree_

mutableprotectedinherited

Definition at line 226 of file AbstractTreeLikelihood.h.

◆ treeLikelihoodsContainer_

std::vector<RHomogeneousTreeLikelihood*> bpp::RHomogeneousMixedTreeLikelihood::treeLikelihoodsContainer_

private

◆ verbose_

bool bpp::AbstractHomogeneousTreeLikelihood::verbose_

protectedinherited

Definition at line 114 of file AbstractHomogeneousTreeLikelihood.h.

Referenced by bpp::AbstractHomogeneousTreeLikelihood::operator=().

The documentation for this class was generated from the following files:

Bpp/Phyl/Likelihood/RHomogeneousMixedTreeLikelihood.h
Bpp/Phyl/Likelihood/RHomogeneousMixedTreeLikelihood.cpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ RHomogeneousMixedTreeLikelihood() [1/3]

◆ RHomogeneousMixedTreeLikelihood() [2/3]

◆ RHomogeneousMixedTreeLikelihood() [3/3]

◆ ~RHomogeneousMixedTreeLikelihood()

Member Function Documentation

◆ applyParameters()

◆ clone()

◆ computeAllTransitionProbabilities()

◆ computeDownSubtreeD2Likelihood()

◆ computeDownSubtreeDLikelihood()

◆ computeSubtreeLikelihood()

◆ computeTransitionProbabilitiesForNode()

◆ computeTreeD2Likelihood()

◆ computeTreeDLikelihood()

◆ computeTreeLikelihood()

◆ displayLikelihood()

◆ displayLikelihoodArray()

◆ enableDerivatives() [1/2]

◆ enableDerivatives() [2/2]

◆ enableFirstOrderDerivatives() [1/2]

◆ enableFirstOrderDerivatives() [2/2]

◆ enableSecondOrderDerivatives() [1/2]

◆ enableSecondOrderDerivatives() [2/2]

◆ fireParameterChanged()

◆ getAlphabet() [1/2]

◆ getAlphabet() [2/2]

◆ getAlphabetStateAsChar()

◆ getAlphabetStateAsInt()

◆ getAlphabetStates()

◆ getBranchLengthsParameters()

◆ getD2LikelihoodForASite()

◆ getD2LikelihoodForASiteForARateClass()

◆ getD2LogLikelihood()

◆ getD2LogLikelihoodForASite()

◆ getData() [1/2]

◆ getData() [2/2]

◆ getDerivableParameters() [1/2]

◆ getDerivableParameters() [2/2]

◆ getDLikelihoodForASite()

◆ getDLikelihoodForASiteForARateClass()

◆ getDLogLikelihood()

◆ getDLogLikelihoodForASite()

◆ getFirstOrderDerivative()

◆ getLikelihood()

◆ getLikelihoodData() [1/2]

◆ getLikelihoodData() [2/2]

◆ getLikelihoodForASite()

◆ getLikelihoodForASiteForARateClass()

◆ getLikelihoodForASiteForARateClassForAState()

◆ getLikelihoodForASiteForAState() [1/2]

◆ getLikelihoodForASiteForAState() [2/2]

◆ getLikelihoodForEachSite() [1/2]

◆ getLikelihoodForEachSite() [2/2]

◆ getLikelihoodForEachSiteForEachRateClass()

◆ getLikelihoodForEachSiteForEachRateClassForEachState()

◆ getLikelihoodForEachSiteForEachState() [1/2]

◆ getLikelihoodForEachSiteForEachState() [2/2]

◆ getLogLikelihood()

◆ getLogLikelihoodForASite()

◆ getLogLikelihoodForASiteForARateClass()

◆ getLogLikelihoodForASiteForARateClassForAState()

◆ getLogLikelihoodForASiteForAState() [1/2]

◆ getLogLikelihoodForASiteForAState() [2/2]

◆ getLogLikelihoodForEachSite() [1/2]

◆ getLogLikelihoodForEachSite() [2/2]

◆ getLogLikelihoodForEachSiteForEachRateClass()

◆ getLogLikelihoodForEachSiteForEachRateClassForEachState()

◆ getLogLikelihoodForEachSiteForEachState() [1/2]

◆ getLogLikelihoodForEachSiteForEachState() [2/2]

◆ getMaximumBranchLength()

◆ getMinimumBranchLength()

◆ getNewBranchModelIterator()

◆ getNewSiteModelIterator()