run_retries: run_retries

In pharmpy/pharmr: Interface to the 'Pharmpy' 'Pharmacometrics' Library

run_retries

Description

Run retries tool.

Usage

run_retries(
  model = NULL,
  results = NULL,
  number_of_candidates = 5,
  fraction = 0.1,
  use_initial_estimates = FALSE,
  strictness = "minimization_successful or (rounding_errors and sigdigs >= 0.1)",
  scale = "UCP",
  prefix_name = "",
  ...
)

Arguments

model	(Model (optional)) Model object to run retries on. The default is NULL.
results	(ModelfitResults (optional)) Connected ModelfitResults object. The default is NULL.
number_of_candidates	(numeric) Number of retry candidates to run. The default is 5.
fraction	(numeric) Determines allowed increase/decrease from initial parameter estimate. Default is 0.1 (10%)
use_initial_estimates	(logical) Use initial parameter estimates instead of final estimates of input model when creating candidate models.
strictness	(str) Strictness criteria. The default is "minimization_successful or (rounding_errors and sigdigs >= 0.1)".
scale	(str (optional)) Which scale to update the initial values on. Either normal scale or UCP scale.
prefix_name	(str (optional)) Prefix the candidate model names with given string
...	Arguments to pass to tool

Value

(RetriesResults) Retries tool results object.

pharmpy/pharmr documentation built on Feb. 15, 2025, 3:22 a.m.