run_modelsearch: run_modelsearch

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

run_modelsearch

Description

Run Modelsearch tool. For more details, see :ref:modelsearch.

Usage

run_modelsearch(
  model,
  results,
  search_space,
  algorithm = "reduced_stepwise",
  iiv_strategy = "absorption_delay",
  rank_type = "bic",
  cutoff = NULL,
  strictness = "minimization_successful or (rounding_errors and sigdigs >= 0.1)",
  E = NULL,
  ...
)

Arguments

model	(Model) Pharmpy model
results	(ModelfitResults) Results for model
search_space	(str or ModelFeatures) Search space to test. Either as a string or a ModelFeatures object.
algorithm	(str) Algorithm to use.
iiv_strategy	(str) If/how IIV should be added to candidate models. Default is 'absorption_delay'.
rank_type	(str) Which ranking type should be used. Default is BIC.
cutoff	(numeric (optional)) Cutoff for which value of the ranking function that is considered significant. Default is NULL (all models will be ranked)
strictness	(str) Strictness criteria
E	(numeric or str (optional)) Expected number of predictors (used for mBIC). Must be set when using mBI
...	Arguments to pass to tool

Value

(ModelSearchResults) Modelsearch tool result object

Examples

## Not run: 
model <- load_example_model("pheno")
res <- load_example_modelfit_results("pheno")
search_space <- 'ABSORPTION(ZO);PERIPHERALS(1)'
run_modelsearch(model=model, results=res, search_space=search_space, algorithm='exhaustive')

## End(Not run)

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