gstlrn::Likelihood Member List

This is the complete list of members for gstlrn::Likelihood, including all inherited members.

addSimulateToDest(const constvect whitenoise, vect outv) const	gstlrn::ASimulable
addToDest(const constvect inv, vect outv) const	gstlrn::ALinearOp
addToDest(const ::Eigen::VectorXd &inv, ::Eigen::VectorXd &outv) const	gstlrn::ALinearOp
ALikelihood(ModelGeneric *model, const Db *db, bool reml=false)	gstlrn::ALikelihood
ALikelihood(const ALikelihood &r)	gstlrn::ALikelihood
ALinearOp()	gstlrn::ALinearOp
ALinearOp(const ALinearOp &m)=default	gstlrn::ALinearOp
ALinearOp(ALinearOp &&m)=default	gstlrn::ALinearOp
AModelOptim(ModelGeneric *model=nullptr, bool verbose=false)	gstlrn::AModelOptim
AModelOptim(const AModelOptim &r)	gstlrn::AModelOptim
ASimulable()	gstlrn::ASimulable
ASimulable(const ASimulable &m)=default	gstlrn::ASimulable
ASimulable(ASimulable &&m)=default	gstlrn::ASimulable
ASimulableMatrix()	gstlrn::ASimulableMatrix
computeCost(bool flagPrint=false, bool verbose=false) override	gstlrn::ALikelihood	virtual
computeLogDet(Id nMC=1) const override	gstlrn::ALikelihood	virtual
computeLogLikelihood(bool flagPrint=false, bool verbose=false)	gstlrn::ALikelihood
createForOptim(ModelGeneric *model, const Db *db, bool reml=false, bool verbose=false)	gstlrn::Likelihood	static
eval(const 1 &x)	gstlrn::AModelOptim
evalDirect(const 1 &inv, 1 &outv) const	gstlrn::ALinearOp
evalDirect(const 1 &in) const	gstlrn::ALinearOp
evalDirect(constvect inv, vect outv) const	gstlrn::ALinearOp
evalGrad(vect res) override	gstlrn::Likelihood	virtual
evalGradInEffectiveDimension(vect res)	gstlrn::AModelOptim
evalSimulate(const 1 &whitenoise, 1 &outv) const	gstlrn::ASimulable
evalSimulate(const 1 &whitenoise) const	gstlrn::ASimulable
evalSimulate(const constvect whitenoise, vect result) const	gstlrn::ASimulable
getAuthorizedAnalyticalGradients() const	gstlrn::AModelOptim
getBeta() const	gstlrn::ALikelihood	inline
getParams() const	gstlrn::AModelOptim	inline
getQMat() const override	gstlrn::Likelihood	virtual
getSize() const override	gstlrn::ALikelihood	virtual
initLikelihood(bool verbose=false)	gstlrn::ALikelihood
Likelihood(ModelGeneric *model, const Db *db, bool reml=false)	gstlrn::Likelihood
Likelihood(const Likelihood &r)	gstlrn::Likelihood
multiplyByValueAndAddDiagonal(double v1=1., double v2=0.) const	gstlrn::ALinearOp	virtual
operator=(const Likelihood &r)	gstlrn::Likelihood
gstlrn::ALikelihood::operator=(const ALikelihood &r)	gstlrn::ALikelihood
gstlrn::AModelOptim::operator=(const AModelOptim &r)	gstlrn::AModelOptim
gstlrn::ASimulableMatrix::operator=(const ASimulable &m)=default	gstlrn::ASimulable
gstlrn::ASimulableMatrix::operator=(ASimulable &&m)=default	gstlrn::ASimulable
gstlrn::ALinearOp::operator=(const ALinearOp &m)=default	gstlrn::ALinearOp
gstlrn::ALinearOp::operator=(ALinearOp &&m)=default	gstlrn::ALinearOp
resetIter()	gstlrn::AModelOptim
resetModif() const	gstlrn::ALinearOp	virtual
run()	gstlrn::AModelOptim
setAuthorizedAnalyticalGradients(bool authorized)	gstlrn::AModelOptim
setEnvironment(const MatrixSymmetric &vars, double href, double epsilon=EPSILON6, double min=0., double max=INF)	gstlrn::AModelOptim
setGradients(std::vector< std::function< double(const 1 &)> > &gradients)	gstlrn::AModelOptim
setUseFactor(bool usefactor)	gstlrn::ALinearOp	inline
setVerbose(bool verbose=false, bool trace=false)	gstlrn::AModelOptim
simulate() const	gstlrn::ASimulable
updateModel(bool verbose=false)	gstlrn::ALikelihood
~ALikelihood()	gstlrn::ALikelihood	virtual
~ALinearOp()=default	gstlrn::ALinearOp	virtual
~AModelOptim()	gstlrn::AModelOptim	virtual
~ASimulable()=default	gstlrn::ASimulable	virtual
~ASimulableMatrix()	gstlrn::ASimulableMatrix	virtual
~Likelihood()	gstlrn::Likelihood	virtual