Run Modelsearch tool. For more details, see :ref:modelsearch.
run_modelsearch( search_space, algorithm ="reduced_stepwise", iiv_strategy ="absorption_delay", rank_type ="bic", cutoff =NULL, results =NULL, model =NULL, strictness ="minimization_successful or (rounding_errors and sigdigs >= 0.1)", E =NULL,...)
Arguments
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)
results: (ModelfitResults (optional)) Results for model
model: (Model (optional)) Pharmpy model
strictness: (str (optional)) 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
Returns
(ModelSearchResults) Modelsearch tool result object