Predict Method for AddiVortesFit — predict.AddiVortesFit • AddiVortes

Predicts outcomes for new data using a fitted AddiVortesFit model object. It can return mean predictions, quantiles and optionally calculate the Root Mean Squared Error (RMSE) if true outcomes are provided.

Usage

# S3 method for class 'AddiVortesFit'
predict(
  object,
  newdata,
  type = c("response", "quantile"),
  quantiles = c(0.025, 0.975),
  showProgress = TRUE,
  ...
)

Arguments

object: An object of class AddiVortesFit, typically the result of a call to AddiVortes().
newdata: A matrix of covariates for the new test set. The number of columns must match the original training data.
type: The type of prediction required. The default "response" gives the mean prediction. The alternative "quantile" returns the quantiles specified by the quantiles argument.
quantiles: A numeric vector of probabilities with values in 0, 1 to compute for the predictions when type = "quantile".
showProgress: Logical; if TRUE (default), a progress bar is shown during prediction.
...: Further arguments passed to or from other methods (currently unused).

Value

If type = "response", a numeric vector of mean predictions. If type = "quantile", a matrix where each row corresponds to an observation in newdata and each column to a quantile.

Details

This function relies on the internal helper function applyScaling_internal being available in the environment, which is used by the main AddiVortes function.