Man pages for rmcmc
Robust Markov Chain Monte Carlo Methods
| barker_proposal | Create a new Barker proposal object. |
| bimodal_barker_proposal | Create a new Barker proposal object with bimodal noise... |
| chain_state | Construct a new chain state. |
| covariance_shape_adapter | Create object to adapt proposal with shape based on estimate... |
| dual_averaging_scale_adapter | Create object to adapt proposal scale to coerce average... |
| example_gaussian_stan_model | Construct an example BridgeStan 'StanModel' object for a... |
| hamiltonian_proposal | Create a new Hamiltonian proposal object. |
| involution_hamiltonian | Apply involution underlying Hamiltonian proposal to a chain... |
| involution_langevin | Apply involution underlying Langevin proposal to a chain... |
| langevin_proposal | Create a new Langevin proposal object. |
| log_density_ratio_barker | Compute logarithm of Barker proposal density ratio. |
| log_density_ratio_hamiltonian | Compute logarithm of Hamiltonian proposal density ratio. |
| log_density_ratio_langevin | Compute logarithm of Langevin proposal density ratio. |
| log_density_ratio_random_walk | Compute logarithm of random_walk proposal density ratio. |
| random_walk_proposal | Create a new (Gaussian) random walk proposal object. |
| robust_shape_adapter | Create object to adapt proposal shape (and scale) using... |
| sample_barker | Sample new state from Barker proposal. |
| sample_chain | Sample a Markov chain |
| sample_hamiltonian | Sample new state from Hamiltonian proposal. |
| sample_langevin | Sample new state from Langevin proposal. |
| sample_metropolis_hastings | Sample from Metropolis-Hastings kernel. |
| sample_random_walk | Sample new state from random walk proposal. |
| scale_adapter | Create object to adapt proposal scale to coerce average... |
| shape_adapter | Create object to adapt proposal shape. |
| stochastic_approximation_scale_adapter | Create object to adapt proposal scale to coerce average... |
| target_distribution_from_log_density_formula | Construct target distribution from a formula specifying log... |
| target_distribution_from_stan_model | Construct target distribution from a BridgeStan 'StanModel'... |
| variance_shape_adapter | Create object to adapt proposal with per dimension scales... |
