Estimate a log normal delay distribution from a vector of integer delays.
Currently this function is a simple wrapper for
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. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#> Warning: `samples` must be at least 1000. Now setting it to 1000 internally.
#>
#> Uncertain lognormal distribution with (untruncated) logmean 1.4 (SD 0.092) and logSD 1.1 (SD 0.08)
#>
# }