R: Posterior model evaluations

evaluate_forecast {epidemia}

R Documentation

Posterior model evaluations

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

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

Arguments

`object`	A fitted model object returned by `epim`. See `epimodel-objects`.
`newdata`	If provided, the original `data` used in `object` is overridden. Useful for forecasting
`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`.
`groups`	Either `NULL` or a character vector specifying the groups to plot for. Default is `NULL`, which plots all modeled groups.
`metrics`	A string or character vector specifying the plotted forecast error metrics. One of `NULL`, `"crps"`, `"mean_abs_error"`
`levels`	A numeric vector defining the levels of the plotted credible intervals.

Value

A named list with dataframes giving metrics and coverage.

[Package epidemia version 1.0.0 Index]