baselinenowcast (version 0.2.0)

truncate_to_quantile: Truncate reporting_triangle to quantile-based maximum delay

Description

Automatically determines an appropriate maximum delay based on when a specified proportion of cases have been reported (CDF cutoff). This is useful for reducing computational burden when most cases are reported within a shorter delay window.

Usage

truncate_to_quantile(x, p = 0.99)

Value

A reporting_triangle object truncated to the maximum quantile delay, or the original object if no truncation is needed

Arguments

x

A reporting_triangle object

p

Numeric value between 0 and 1 indicating the quantile cutoff. For example, p = 0.99 truncates to the delay at which 99% of cases have been reported. Default is 0.99.

See Also

Reporting triangle construction and validation [.reporting_triangle(), [<-.reporting_triangle(), as.data.frame.reporting_triangle(), as.matrix.reporting_triangle(), as_ChainLadder_triangle(), as_reporting_triangle(), as_reporting_triangle.data.frame(), as_reporting_triangle.matrix(), as_reporting_triangle.triangle(), assert_reporting_triangle(), get_delays_from_dates(), get_delays_unit(), get_max_delay(), get_mean_delay(), get_quantile_delay(), get_reference_dates(), get_report_dates(), get_reporting_structure(), head.reporting_triangle(), is_reporting_triangle(), new_reporting_triangle(), print.reporting_triangle(), reporting_triangle-class, summary.reporting_triangle(), tail.reporting_triangle(), truncate_to_delay(), validate_reporting_triangle()

Examples

data_as_of_df <- syn_nssp_df[syn_nssp_df$report_date <= "2026-04-01", ]
# Create triangle, max_delay is automatically computed
rep_tri <- suppressMessages(as_reporting_triangle(data = data_as_of_df))

# Check the maximum delay in the triangle
ncol(rep_tri)

# Truncate to 99th percentile of reporting
rep_tri_trunc <- truncate_to_quantile(rep_tri, p = 0.99)
ncol(rep_tri_trunc)

# More aggressive truncation
rep_tri_trunc90 <- truncate_to_quantile(rep_tri, p = 0.90)
ncol(rep_tri_trunc90)