simulate_double_censored_pmf: Simulate daily double censored PMF

In seabbs/epinowcast: Flexible Hierarchical Nowcasting

Simulate daily double censored PMF

Description

This function simulates the probability mass function of a daily double-censored process. The process involves two distributions: a primary distribution which represents the censoring process for the primary event and another distribution (which is offset by the primary).

Usage

simulate_double_censored_pmf(
  max,
  fun_primary = stats::runif,
  primary_args = list(),
  fun_dist = stats::rlnorm,
  dist_args = list(...),
  n = 1e+06,
  ...
)

Arguments

max	Maximum value for the computed CDF. If not specified, the maximum value is the maximum simulated delay.
fun_primary	Primary distribution function (default is runif).
primary_args	List of additional arguments to be passed to the primary distribution function.
fun_dist	Distribution function to be added to the primary (default is rlnorm).
dist_args	List of additional arguments to be passed to the distribution function.
n	Number of simulations (default is 1e6).
...	Additional arguments to be passed to the distribution function. This is an alternative to dist_args.

Value

A numeric vector representing the PMF.

See Also

Helper functions for model modules add_max_observed_delay(), add_pmfs(), convolution_matrix(), enw_reference_by_report(), enw_reps_with_complete_refs(), extract_obs_metadata(), extract_sparse_matrix(), latest_obs_as_matrix()

Examples

simulate_double_censored_pmf(10, meanlog = 0, sdlog = 1)

seabbs/epinowcast documentation built on Feb. 3, 2025, 9:56 p.m.