Plot a ribbon plot with each time horizon predictions against true values for validation

Plot a ribbon plot with each time horizon predictions against true values for validation

Usage

plot_validation(data, validation_res, pred_plot = "ribbon")

Arguments

data

A data frame used in generate_validation(), containing the original training data used for model fitting. Must include:

• date: Dates of the observed data (class Date).

• confirm: Numeric values of confirmed cases.

validation_res

A list of forecast validation results, typically produced by generate_validation(). Each element should include:

• forecast_res_quantiles: A data frame containing forecasted quantiles (p025, p10, p25, p50, p75, p90, p975, and date).

• estimate_R: A list with estimated reproduction numbers (used for grouping).

• smoothed_data: (optional) A data frame of smoothed observations, if smoothing was applied before forecasting.

pred_plot

either "ribbon" or "error_bar" (by default) to produce either ribbon prediction plots or error_bar plots respectively

Value

error_bar validation plot or ribbon validation plot for a specific prediction horizon

Examples

data <- simulate_data()
formatted_data <- get_aggregated_data(data,"date", "flu_a", "2024-10-16", "2024-12-31")
start_date <- ("2024-10-16")
validation_results <- generate_validation(formatted_data, start_date, type ="flu_a")
plot_validation(formatted_data, validation_results)