Coverage of posterior credible intervals — posterior

Calculate daily error using one of three metrics, and also return coverage of credible intervals. Uses continuous ranked probability score (CRPS), mean absolute error and median absolute error.

posterior_coverage(
  object,
  type,
  newdata = NULL,
  groups = NULL,
  levels = c(50, 95)
)

Arguments

object	A fitted model object returned by `epim`. See `epimodel-objects`.
type	A string specifying the name of the observations to plot. This should match one of the names of the response variables in the `obs` argument used int the call to `epim`.
newdata	If provided, the original `data` used in `object` is overridden. Useful for forecasting
groups	Either `NULL` or a character vector specifying the groups to plot for. Default is `NULL`, which plots all modeled groups.
levels	A numeric vector defining the levels of the plotted credible intervals.

Value

A dataframe indicating whether observations fall within the specified credible intervals