Prepare to continue sampling with manual scheduling — monty_sample_manual_prepare

Prepare to continue sampling from a model, with manual chain orchestration. This function is to monty_sample_continue what monty_sample_manual_prepare is to monty_sample. The original set of samples do not need to have been run manually.

Usage

monty_sample_manual_prepare_continue(
  samples,
  n_steps,
  path,
  save_samples = "hash"
)

samples: A monty_samples object created by monty_sample()
n_steps: The number of steps to run the sampler for.
path: The path to write inputs and outputs to. This should be a path to a directory which does not yet exist, or which is empty; we will create one here. The contents of this directory are managed by monty and the names and contents of files here are an implementation detail and should not be relied on. Calling monty_sample_manual_cleanup() will delete the directory in its entirety. Be aware that if you use tempfile() here (which can be a reasonable choice!) that this path will be deleted when your R process ends, so if using these the process calling monty_sample_manual_prepare should outlive running all sampling.
save_samples: Control over saving samples into the inputs. The choices here are hash (the default) where we save a hash and validate that in monty_sample_manual_collect, value where the samples are themselves saved and you can omit the samples argument to monty_sample_manual_collect, or nothing, in which we save nothing, and you just have to get it right.

Invisibly, the path used to store files (the same as the value of the path argument)