Estimate and apply delay from a reporting triangle

Estimate and apply delay from a reporting triangle

Usage

estimate_and_apply_delay(reporting_triangle, validate = TRUE, ...)

Arguments

reporting_triangle

A reporting_triangle object with rows representing reference times and columns representing delays. Can be a reporting matrix or incomplete reporting matrix. Can also be a ragged reporting triangle, where multiple columns are reported for the same row (e.g., weekly reporting of daily data).

validate

Logical. If TRUE (default), validates the object. Set to FALSE only when called from functions that already validated.

...

Additional arguments passed to the estimate_delay function

Value

pt_nowcast_matrix A reporting_triangle object of point nowcasts with the same structure as the input

See also

High-level workflow wrapper functions allocate_reference_times(), estimate_and_apply_uncertainty(), estimate_uncertainty_retro()

Examples

pt_nowcast_matrix <- estimate_and_apply_delay(
  reporting_triangle = example_reporting_triangle
)
pt_nowcast_matrix
#> Reporting Triangle
#> ℹ The reporting triangle does not contain any missing values.
#> Delays unit: days
#> Reference dates: 2024-01-01 to 2024-01-05
#> Max delay: 3
#> Structure: 0
#> 
#>              0        1        2        3
#> 2024-01-01  80 50.00000 25.00000 10.00000
#> 2024-01-02 100 50.00000 20.00000 10.97165
#> 2024-01-03  90 45.00000 21.72707 10.11533
#> 2024-01-04 110 59.32834 27.24413 12.68600
#> 2024-01-05  95 51.27278 23.53877 10.95949