predict_outliers {pharmr} | R Documentation |
predict_outliers
Description
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.
Usage
predict_outliers(model, results, cutoff = 3)
Arguments
model |
(Model) Pharmpy model |
results |
(ModelfitResults) ModelfitResults for the model |
cutoff |
(numeric) Cutoff threshold for a residual signaling an outlier |
Value
(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.
See Also
predict_influential_individuals
predict_influential_outliers
Examples
## Not run:
model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
predict_outliers(model, results)
## End(Not run)
[Package pharmr version 1.0.1 Index]