Creates visualizations of fitted model results, including reproduction number trajectories, infection curves, and posterior predictive distributions.

# S3 method for class 'epiaware_fit'
plot(x, type = c("Rt", "cases", "posterior"), ...)

Arguments

x

An epiaware_fit object from fit().

type

Character string specifying plot type. Options:

  • "Rt": Time-varying reproduction number with credible intervals

  • "cases": Observed vs predicted cases with credible intervals

  • "posterior": Posterior distributions for key parameters

...

Additional arguments passed to plotting functions.

Value

A ggplot2 object.

Examples

if (FALSE) { # \dontrun{
# Plot Rt trajectory
plot(results, type = "Rt")

# Plot posterior predictive for cases
plot(results, type = "cases")

# Plot parameter posteriors
plot(results, type = "posterior")
} # }