Run a chain that was prepared using monty_sample_manual_prepare.
Arguments
- chain_id
The id for the chain to run, an integer. If you provide an integer that does not correspond to a chain in 1 to
n_chains
(wheren_chains
was the argument passed tomonty_sample_manual_prepare
it is an error.- path
The path used in the call to monty_sample_manual_prepare
- progress
Optional logical, indicating if we should print a progress bar while running. If
NULL
, we use the value of the optionmonty.progress
if set, otherwise we show the progress bar (as it is typically wanted). Alternatively, you can provide a string indicating the progress bar type. Options arefancy
(equivalent toTRUE
),none
(equivalent toFALSE
) andsimple
(a very simple text-mode progress indicator designed play nicely with logging; it does not use special codes to clear the line).
Examples
model <- monty_example("banana")
sampler <- monty_sampler_random_walk(vcv = diag(2) * 0.05)
path <- tempfile()
monty_sample_manual_prepare(model, sampler, 100, path)
monty_sample_manual_info(path)
#>
#> ── Manual monty sampling at /tmp/RtmpNZNAL2/file164330ec71b5 ───────────────────
#> ℹ Created 2024-12-03 14:46:02
#> ℹ 100 steps x 1 chains
#> ✖ No chains complete
# Run the (single) chain
monty_sample_manual_run(1, path)
monty_sample_manual_info(path)
#>
#> ── Manual monty sampling at /tmp/RtmpNZNAL2/file164330ec71b5 ───────────────────
#> ℹ Created 2024-12-03 14:46:02
#> ℹ 100 steps x 1 chains
#> ✔ All chains complete
# Collect the results
monty_sample_manual_collect(path)
#>
#> ── <monty_samples: 2 parameters x 100 samples x 1 chain> ───────────────────────
#> ℹ Parameters: 'alpha' and 'beta'
#> ℹ Conversion to other types is possible:
#> → ✔ posterior::as_draws_array() [package loaded]
#> → ✔ posterior::as_draws_df() [package loaded]
#> → ✔ coda::as.mcmc.list() [package loaded]
#> ℹ See `?monty_sample()` and `vignette("samples")` for more information
# Clean up samples
monty_sample_manual_cleanup(path)