This function uses a trained model stored as an
to derive the prediction interval (PI) for a given alpha threshold; it
classifies as outliers every data point falling outside the interval.
a fitted model as
the alpha threshold to be used for prediction intervals, defaulting to 0.05, i.e. 95% prediction intervals are derived
additional arguments passed to the underlying model prediction function
data.frame containing the original data, the mean model
predictions, the lower and upper bounds of the prediction interval, a
outlier indicating which point is an outlier as a
classification of data points as a
factor with values
points within the PI,
increase for outliers above the PI, and
for outliers below the PI.
Thibaut Jombart, Dirk Schumacher
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