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pharmr (version 1.4.0)

predict_outliers: 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)

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.

Arguments

model

(Model) Pharmpy model

results

(ModelfitResults) ModelfitResults for the model

cutoff

(numeric) Cutoff threshold for a residual signaling an outlier

See Also

predict_influential_individuals

predict_influential_outliers

Examples

Run this code
if (FALSE) {
model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
predict_outliers(model, results)
}

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