_copy_() | bdm::ARX | [virtual] |
bdm::BMEF::_copy_(bool changerv=false) | bdm::BMEF | [inline] |
_drv() const (defined in bdm::BM) | bdm::BM | [inline] |
_e() const (defined in bdm::ARX) | bdm::ARX | [inline, virtual] |
_epdf() const (defined in bdm::ARX) | bdm::ARX | [inline, virtual] |
_ll() const (defined in bdm::BM) | bdm::BM | [inline] |
ARX(const double frg0=1.0) | bdm::ARX | [inline] |
ARX(const ARX &A0) | bdm::ARX | [inline] |
bayes(const vec &dt, const double w) | bdm::ARX | [virtual] |
bayes(const vec &dt) | bdm::ARX | [inline, virtual] |
bayesB(const mat &Dt) | bdm::BM | [virtual] |
BM() (defined in bdm::BM) | bdm::BM | [inline] |
BM(const BM &B) (defined in bdm::BM) | bdm::BM | [inline] |
BMEF(double frg0=1.0) | bdm::BMEF | [inline] |
BMEF(const BMEF &B) | bdm::BMEF | [inline] |
drv | bdm::BM | [protected] |
epredictor(const vec &rgr) const | bdm::ARX | |
epredictor() const | bdm::ARX | [inline, virtual] |
est | bdm::ARX | [protected] |
evalll | bdm::BM | [protected] |
flatten(const BMEF *B) | bdm::ARX | [inline, virtual] |
frg | bdm::BMEF | [protected] |
get_parameters(mat &V0, double &nu0) | bdm::ARX | [inline] |
last_lognc | bdm::BMEF | [protected] |
ll | bdm::BM | [protected] |
logpred(const vec &dt) const | bdm::ARX | [virtual] |
logpred_m(const mat &dt) const | bdm::BM | [inline] |
nu | bdm::ARX | [protected] |
predictor() const | bdm::ARX | [virtual] |
predictor_student() const (defined in bdm::ARX) | bdm::ARX | |
set_drv(const RV &rv) (defined in bdm::BM) | bdm::BM | [inline] |
set_evalll(bool evl0) (defined in bdm::BM) | bdm::BM | [inline] |
set_parameters(const ldmat &V0, const double &nu0) | bdm::ARX | [inline] |
set_statistics(const BMEF *BM0) | bdm::ARX | [virtual] |
structure_est(egiw Eg0) | bdm::ARX | |
V | bdm::ARX | [protected] |
~bdmroot() | bdm::bdmroot | [inline, virtual] |