barker_proposal | Create a new Barker proposal object. |
bimodal_barker_proposal | Create a new Barker proposal object with bimodal noise distribution. |
chain_state | Construct a new chain state. |
covariance_shape_adapter | Create object to adapt proposal with shape based on estimate of target distribution covariance matrix. |
dual_averaging_scale_adapter | Create object to adapt proposal scale to coerce average acceptance rate using dual averaging scheme of Nesterov (2009) and Hoffman and Gelman (2014). |
example_gaussian_stan_model | Construct an example BridgeStan 'StanModel' object for a Gaussian model. |
hamiltonian_proposal | Create a new Hamiltonian proposal object. |
langevin_proposal | Create a new Langevin proposal object. |
random_walk_proposal | Create a new (Gaussian) random walk proposal object. |
robust_shape_adapter | Create object to adapt proposal shape (and scale) using robust adaptive Metropolis algorithm of Vihola (2012). |
sample_chain | Sample a Markov chain |
scale_adapter | Create object to adapt proposal scale to coerce average acceptance rate. |
shape_adapter | Create object to adapt proposal shape. |
stochastic_approximation_scale_adapter | Create object to adapt proposal scale to coerce average acceptance rate using a Robbins and Monro (1951) scheme. |
target_distribution_from_log_density_formula | Construct target distribution from a formula specifying log density. |
target_distribution_from_stan_model | Construct target distribution from a BridgeStan 'StanModel' object. |
variance_shape_adapter | Create object to adapt proposal with per dimension scales based on estimates of target distribution variances. |