| _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] | 
 1.5.6
 1.5.6