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Run the ruvsearch tool. For more details, see :ref:ruvsearch.
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)", ... )
(RUVSearchResults) Ruvsearch tool result object
(Model (optional)) Pharmpy model
(ModelfitResults (optional)) Results of model
(numeric) The number of bins to use for the time varying models
(numeric) The p-value to use for the likelihood ratio test
(array(str) (optional)) A vector of models to not attempt.
(numeric) Number of iterations to run (1, 2, or 3). For models with BLQ only one iteration is supported.
(numeric (optional)) Which DV to assess the error model for.
(str (optional)) Strictness criteri
Arguments to pass to tool
if (FALSE) { model <- load_example_model("pheno") results <- load_example_modelfit_results("pheno") run_ruvsearch(model=model, results=results) }
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