Box plots of mean squared error (MSE).

Usage

mse_plot(
  hiv_list,
  hiv_list_2 = NULL,
  quantity = "incidence",
  offset = 0.1,
  lab = TRUE,
  model_1_name = "Model 1",
  model_2_name = "Model 2",
  sim_comparison = c("sampled", "generative")
)

Arguments

hiv_list: A list returned from the postproc function containing model estimates.
hiv_list_2: A second list returned from the postproc function for comparison (default is NULL).
quantity: The quantity to plot MSE for (default is "incidence"). Migration-model options are "undiag_migration", "ratio_abroad_uk", and "mp".
offset: The offset for text labels.
lab: A logical indicating whether to add labels.
model_1_name: The name of the first model for labeling (default is "Model 1").
model_2_name: The name of the second model for labeling (default is "Model 2").
sim_comparison: A string specifying which simulated values to compare against. Options are "sampled" (the stochastic realisation for the particular seed, the default) or "generative" (deterministic expected values).

Value

A ggplot object of the MSE box plot.