| accept_progress_bar | An altered version of the utils:txtProgressBar that shows... |
| accept_rate | Return the acceptance rate for new particles across all... |
| as_mcmc | Return a CODA mcmc object with the required samples |
| check_adapted | Check whether the adaptation phase has successfully completed |
| check_efficient | Check for efficient proposals if necessary |
| check_run_stage_args | Test the arguments to the run_stage function for correctness |
| conditional_parms | Obtain the efficent mu and sigma from the adaptation phase... |
| create_efficient | Create distribution parameters for efficient proposals |
| extend_sampler | Extend the main data store with empty space for new samples |
| extract_samples | Extract relevant samples from the list for conditional dist... |
| forstmann | Forstmann et al.'s data |
| gen_particles | Generate proposal particles |
| gibbs_step | Gibbs step of the Particle Metropolis within Gibbs sampler |
| gibbs_step_err | Error handler for the gibbs_step call |
| init | Initialise values for the random effects |
| is.pmwgs | Test whether object is a pmwgs |
| last_sample | Create a list with the last samples in the pmwgs object |
| new_sample | Generate particles and select one to be the new sample |
| numbers_from_proportion | Check and normalise the number of each particle type from the... |
| particle_draws | Generate a cloud of particles from a multivariate normal... |
| pmwg-package | pmwg: Particle Metropolis Within Gibbs. |
| pmwgs | Create a PMwG sampler and return the created object |
| relabel_samples | Relabel requested burn-in samples as adaptation |
| run_stage | Run a stage of the PMwG sampler |
| sampled_forstmann | A sampled object of a model of the Forstmann dataset |
| sample_store | Create a new list for storage samples in the pmwgs object |
| set_epsilon | Set default values for epsilon |
| set_mix | Set default values for mix |
| set_proposal | Setup the proposal distribution arguments (if in sample... |
| test_sampler_adapted | Test that the sampler has successfully adapted |
| trim_na | Trim the unneeded NA values from the end of the sampler |
| unwind | Unwinds variance matrix to a vector |
| update_progress_bar | A function that updates the accept_progress_bar with progress... |
| wind | Winds a variance vector back to a vector |
