Run multiple model_summary() calls in batch. Note: if you need to pull in
only the parameter estimates for a large number of NONMEM models, consider
using param_estimates_batch() instead, as it will be faster than
model_summaries() for this purpose.
model_summaries(
.mods,
.bbi_args = NULL,
.fail_flags = NULL,
...,
.dry_run = FALSE
)
# S3 method for list
model_summaries(
.mods,
.bbi_args = NULL,
.fail_flags = NULL,
...,
.dry_run = FALSE
)
# S3 method for bbi_run_log_df
model_summaries(
.mods,
.bbi_args = NULL,
.fail_flags = NULL,
...,
.dry_run = FALSE
)The model objects to summarize. Could be
a bbi_run_log_df tibble, or
a list of bbi_{.model_type}_model objects.
A named list specifying arguments to pass to bbi formatted like list("nm_version" = "nm74gf_nmfe", "json" = T, "threads" = 4).
See print_bbi_args() for full list of options.
Same as .bbi_args except these are used only when a model_summary() call fails.
In that case, flags are appended to anything in .bbi_args and the summary is tried again.
See details section for more info on these flags.
args passed through to bbi_exec()
show what the command would be without actually running it
All dispatches will return a list of bbi_{.model_type}_summary objects.
The summary call will error if it does not find certain files in the output folder. However, you can override this behavior with the following file-specific flags:
no_ext_file
no_grd_file
no_shk_file
If some of your runs are using an estimation method that does not produce any of the following files,
or they are missing for some other legitimate reason, pass the appropriate flags through the .fail_flags argument.
Additionally, if you have renamed your .ext file, you will need to pass the new name through, to .bbi_args or .fail_flags like so:
model_summaries(..., .bbi_args = list(ext_file = "whatever_you_named_it"))
model_summaries(list): Summarize a list of bbi_{.model_type}_model objects.
model_summaries(bbi_run_log_df): Takes a bbi_run_log_df tibble and summarizes all models in it.