API for rmcmc
Robust Markov Chain Monte Carlo Methods

Global functions
`%@%` Source code
barker_proposal Man page Source code
bimodal_barker_proposal Man page Source code
chain_loop Source code
chain_state Man page Source code
combine_stage_results Source code
covariance_shape_adapter Man page Source code
default_trace_function Source code
dual_averaging_scale_adapter Man page Source code
example_gaussian_stan_model Man page Source code
get_progress_bar Source code
get_shape_matrix Source code
hamiltonian_proposal Man page Source code
initialize_statistics Source code
initialize_traces Source code
involution_hamiltonian Man page Source code
involution_langevin Man page Source code
is_non_scalar_vector Source code
langevin_proposal Man page Source code
log1p_exp Source code
log_density_ratio_barker Man page Source code
log_density_ratio_hamiltonian Man page Source code
log_density_ratio_langevin Man page Source code
log_density_ratio_random_walk Man page Source code
logistic_sigmoid Source code
min_1_exp Source code
new_chain_state Source code
random_walk_proposal Man page Source code
robust_shape_adapter Man page Source code
sample_barker Man page Source code
sample_chain Man page Source code
sample_hamiltonian Man page Source code
sample_langevin Man page Source code
sample_metropolis_hastings Man page Source code
sample_random_walk Man page Source code
scale_adapter Man page Source code
scale_and_shape_proposal Source code
shape_adapter Man page Source code
stochastic_approximation_scale_adapter Man page Source code
target_distribution_from_log_density_formula Man page Source code
target_distribution_from_stan_model Man page Source code
variance_shape_adapter Man page Source code
rmcmc documentation built on April 3, 2025, 5:27 p.m.