posterior_coverage: Coverage of posterior credible intervals

In epidemia: Modeling of Epidemics using Hierarchical Bayesian Models

Description

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.

Usage

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

epidemia documentation built on Oct. 25, 2021, 9:09 a.m.