plot empirical cohort-based or cumulative mean vs posterior mean — plot_mean_posterior_pred • epidist

plot empirical cohort-based or cumulative mean vs posterior mean

Usage

plot_mean_posterior_pred(
  summarised_mean,
  obs_mean,
  alpha = 0.3,
  mean = FALSE,
  ribbon = TRUE,
  ribbon_bounds = c(0.05, 0.95),
  ...
)

Arguments

summarised_mean: Summarised mean as produced by summarise_variable()
obs_mean: ...
alpha: ...
mean: Should the mean be plotted? Logical, defaults to FALSE.
ribbon: Should the quantile ribbon be plotted? Logical, defaults to TRUE.
ribbon_bounds: Bounds of the quantile ribbon. Defaults to c(0.05, 0.95) which corresponds to the 90% credible interval.
...: Additional arguments passed to ggplot2::aes().

See also

Other plot: calculate_cohort_mean(), calculate_truncated_means(), plot_cases_by_obs_window(), plot_censor_delay(), plot_cohort_mean(), plot_empirical_delay(), plot_recovery(), plot_relative_recovery()