Predict function for quantile_ensemble object — predict.quantile

Predict the conditional quantiles at a new set of ensemble realizations, using the ensemble coefficients at given tau values.

# S3 method for quantile_ensemble
predict(
  object,
  newq,
  s = NULL,
  sort = TRUE,
  iso = FALSE,
  nonneg = FALSE,
  round = FALSE,
  ...
)

Arguments

object: The quantile_ensemble object.
newq: Array of new predicted quantiles, of dimension (number of new prediction points) x (number or ensemble components) x (number of quantile levels).
sort: Should the returned quantile estimates be sorted? Default is TRUE.
iso: Should the returned quantile estimates be passed through isotonic regression? Default is FALSE; if TRUE, takes priority over sort.
nonneg: Should the returned quantile estimates be truncated at 0? Natural for count data. Default is FALSE.
round: Should the returned quantile estimates be rounded? Natural for count data. Default is FALSE.
...: Additional arguments (not used).