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 required 10,000 iterations.
Arguments
- x
The object.
- 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.
- delta
A non-negative number specifying the maximum absolute AIC difference cutoff. Distributions with an absolute AIC difference greater than delta are excluded from the calculations.
- 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()
Examples
fits <- ssd_fit_bcanz(ssddata::ccme_boron)
ssd_hc_bcanz(fits, nboot = 100)
#> Warning: One or more pboot values less than 0.95 (decrease min_pboot with caution).
#> # A tibble: 4 × 11
#> dist proportion est se lcl ucl wt method nboot pboot samples
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <I<lis>
#> 1 average 0.01 0.267 NA NA NA 1 parametr… 100 0.85 <dbl>
#> 2 average 0.05 1.26 NA NA NA 1 parametr… 100 0.85 <dbl>
#> 3 average 0.1 2.38 NA NA NA 1 parametr… 100 0.85 <dbl>
#> 4 average 0.2 4.81 NA NA NA 1 parametr… 100 0.85 <dbl>