Fit a reproducible grid of assessment scenarios

Fit a reproducible grid of assessment scenarios

Usage

opal_grid(x, scenarios, directory = NULL, resume = TRUE, fit_args = list())

Arguments

x

A configured or fitted opal_obj.

scenarios

Named list of argument lists passed to opal_update().

directory

Optional directory for per-scenario portable checkpoints.

resume

Reuse checkpoints only when target and fitting settings match.

fit_args

Named arguments passed to opal_fit().

Value

An opal_grid list with models, summary, and settings. Every scenario is retained, including failures. passes uses the full fit check, not just the optimiser code. Checkpoint identities include the scientific configuration and fitting controls.

See also

Other assessment sensitivity: opal_grid_draws(), opal_grid_mcmc(), opal_profile(), plot_opal_profile()