run_retries {pharmr}

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 = "",
  seed = NULL,
  ...
)

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 (optional)) 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.

seed

(numeric (optional)) Random number generator or seed to be used

...

Arguments to pass to tool

Value

(RetriesResults) Retries tool results object.