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Estimate a Delay Distribution

Source: R/estimate_delay.R
estimate_delay.Rd

[Maturing] Estimate a log normal delay distribution from a vector of integer delays. Currently this function is a simple wrapper for bootstrapped_dist_fit().

Usage

estimate_delay(delays, ...)

Arguments

delays

Integer vector of delays

...

Arguments to pass to internal methods.

Value

A <dist_spec> summarising the bootstrapped distribution

See also

bootstrapped_dist_fit()

Examples

# \donttest{
delays <- rlnorm(500, log(5), 1)
estimate_delay(delays, samples = 1000, bootstraps = 10)
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> Warning: ! `samples` must be at least 1000.
#> ℹ Now setting it to 1000 internally.
#> - lognormal distribution (max: 98):
#>   meanlog:
#>     - normal distribution:
#>       mean:
#>         1.4
#>       sd:
#>         0.091
#>   sdlog:
#>     - normal distribution:
#>       mean:
#>         1.1
#>       sd:
#>         0.087
# }