Three-panel diagnostic plot for a fitted nowcast — nowcast

Produces three stacked panels: (1) reporting-delay histogram with the fitted density, (2) smoothed latent incidence lambda with 50/90% CI, and (3) posterior-predictive nowcast with observed counts. Requires the patchwork package for a combined output.

Usage

nowcast_diagnostic(
  object,
  n_draws = NULL,
  seed = sample.int(.Machine$integer.max, 1),
  previous_times = 30
)

Arguments

object: A nowcast_class object.
n_draws: Number of posterior draws (default: min(object@n_draws, 500)).
seed: Optional RNG seed.
previous_times: Number of most recent event-times to display in panels 2 (smoothed incidence) and 3 (nowcast): only the last previous_times dates (including the nowcast target) are shown, as in autoplot(). Panel 1 (the delay distribution) always uses all delays. Default 30; use Inf (or NULL) to show every event-time.

Value

A patchwork combined plot (or a named list of three ggplots).