Gets hazard concentrations with confidence intervals that protect 1, 5, 10 and 20% of species using settings adopted by BC, Canada, Australia and New Zealand for official guidelines. This function can take several minutes to run with recommended 10,000 iterations.
Arguments
- x
The object.
- ...
Unused.
- nboot
A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.
- min_pboot
A number between 0 and 1 of the minimum proportion of bootstrap samples that must successfully fit (return a likelihood) to report the confidence intervals.
See also
Other BCANZ:
ssd_fit_bcanz(),
ssd_hp_bcanz()
Examples
fits <- ssd_fit_bcanz(ssddata::ccme_boron)
ssd_hc_bcanz(fits, nboot = 100)
#> # A tibble: 4 × 15
#> dist proportion est se lcl ucl wt level est_method ci_method
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
#> 1 average 0.01 0.267 0.472 0.0375 1.73 1 0.95 multi weighted_s…
#> 2 average 0.05 1.26 0.854 0.341 3.41 1 0.95 multi weighted_s…
#> 3 average 0.1 2.38 1.19 0.927 5.23 1 0.95 multi weighted_s…
#> 4 average 0.2 4.81 1.80 2.47 9.00 1 0.95 multi weighted_s…
#> # ℹ 5 more variables: boot_method <chr>, nboot <dbl>, pboot <dbl>,
#> # dists <list>, samples <list>