Run the ruvsearch tool. For more details, see :ref:ruvsearch.
run_ruvsearch( model =NULL, results =NULL, groups =4, p_value =0.001, skip =NULL, max_iter =3, dv =NULL, strictness ="minimization_successful or (rounding_errors and sigdigs>=0.1)",...)
Arguments
model: (Model (optional)) Pharmpy model
results: (ModelfitResults (optional)) Results of model
groups: (numeric) The number of bins to use for the time varying models
p_value: (numeric) The p-value to use for the likelihood ratio test
skip: (array(str) (optional)) A vector of models to not attempt.
max_iter: (numeric) Number of iterations to run (1, 2, or 3). For models with BLQ only one iteration is supported.
dv: (numeric (optional)) Which DV to assess the error model for.
strictness: (str (optional)) Strictness criteri
...: Arguments to pass to tool
Returns
(RUVSearchResults) Ruvsearch tool result object
Examples
## Not run:model <- load_example_model("pheno")results <- load_example_modelfit_results("pheno")run_ruvsearch(model=model, results=results)## End(Not run)