1 #ifndef STAN_MCMC_HMC_NUTS_ADAPT_SOFTABS_NUTS_HPP
2 #define STAN_MCMC_HMC_NUTS_ADAPT_SOFTABS_NUTS_HPP
15 template <
class Model,
class BaseRNG>
30 info_writer, error_writer);
void complete_adaptation(double &epsilon)
The No-U-Turn sampler (NUTS) with multinomial sampling with a Gaussian-Riemannian disintegration and ...
double accept_stat() const
Probability, optimization and sampling library.
void learn_stepsize(double &epsilon, double adapt_stat)
sample transition(sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
sample transition(sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
The No-U-Turn sampler (NUTS) with multinomial sampling with a Gaussian-Riemannian disintegration and ...
base_writer is an abstract base class defining the interface for Stan writer callbacks.
virtual void disengage_adaptation()
void disengage_adaptation()
adapt_softabs_nuts(const Model &model, BaseRNG &rng)
stepsize_adaptation stepsize_adaptation_