predict_outliers: predict_outliers

In pharmpy/pharmr: Interface to the 'Pharmpy' 'Pharmacometrics' Library

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)

pharmpy/pharmr documentation built on Feb. 15, 2025, 3:22 a.m.