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Predict outliers for a model using a machine learning model.
See the :ref:simeval <Individual OFV summary>
documentation for a definition of the residual
Please refer to www.page-meeting.org/?abstract=10029 for more information on training and estimated precision and accuracy.
predict_outliers(model, results, cutoff = 3)
(data.frame) Dataframe over the individuals with a residual
column containing the raw predicted residuals and a outlier
column with a boolean to tell whether the individual is an outlier or not.
(Model) Pharmpy model
(ModelfitResults) ModelfitResults for the model
(numeric) Cutoff threshold for a residual signaling an outlier
predict_influential_individuals
predict_influential_outliers
if (FALSE) {
model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
predict_outliers(model, results)
}
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