Collect samples from chains that have been run with monty_sample_manual_prepare and monty_sample_manual_run. If any chain has not completed, we will error.
Arguments
- path
The path used in the call to monty_sample_manual_prepare
- samples
Samples from the parent run. You need to provide these where
save_samples
was set to anything other than "value"- restartable
Logical, indicating if the chains should be restartable. This will add additional data to the chains object. Note that this is controlled at chain collection and not creation.
- append
Logical, indicating if we should append the results of the resumed chain together with the original chain.
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/Rtmp8opvbi/file16a25035b6 ─────────────────────
#> ℹ Created 2024-11-20 17:14:58
#> 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/Rtmp8opvbi/file16a25035b6 ─────────────────────
#> ℹ Created 2024-11-20 17:14:58
#> 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)