_copy_() const | bdm::BM | [inline, virtual] |
_drv() const (defined in bdm::BM) | bdm::BM | [inline] |
_e() const =0 (defined in bdm::BM) | bdm::BM | [pure virtual] |
_ll() const (defined in bdm::BM) | bdm::BM | [inline] |
_rvc() const | bdm::BM | [inline] |
bayes(const vec &dt)=0 | bdm::BM | [pure 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] |
condition(const vec &val) | bdm::BM | [inline, virtual] |
drv | bdm::BM | [protected] |
epredictor() const | bdm::BM | [inline, virtual] |
evalll | bdm::BM | [protected] |
LIDs | bdm::BM | |
ll | bdm::BM | [protected] |
log_add(logger *L, const string &name="") | bdm::BM | [inline] |
logit(logger *L) (defined in bdm::BM) | bdm::BM | [inline] |
logpred(const vec &dt) const | bdm::BM | [inline, virtual] |
logpred_m(const mat &dt) const | bdm::BM | [inline] |
opt_L_bounds | bdm::BM | |
posterior() const =0 (defined in bdm::BM) | bdm::BM | [pure virtual] |
predictor() const | bdm::BM | [inline, virtual] |
rvc | bdm::BM | |
set_drv(const RV &rv) (defined in bdm::BM) | bdm::BM | [inline] |
set_evalll(bool evl0) (defined in bdm::BM) | bdm::BM | [inline] |
set_options(const string &opt) | bdm::BM | [inline] |
set_rv(const RV &rv) (defined in bdm::BM) | bdm::BM | [inline] |
~bdmroot() | bdm::bdmroot | [inline, virtual] |