A wrapper on ssd_hc() that by default calculates
all hazard concentrations from 1 to 99%.
Usage
# S3 method for class 'fitburrlioz'
predict(
object,
percent,
proportion = 1:99/100,
ci = FALSE,
level = 0.95,
nboot = 1000,
min_pboot = 0.95,
parametric = TRUE,
...
)Arguments
- object
The object.
- percent
A numeric vector of percent values to estimate hazard concentrations for. Soft-deprecated for
proportion = 0.05.- proportion
A numeric vector of proportion values to estimate hazard concentrations for.
- ci
A flag specifying whether to estimate confidence intervals (by bootstrapping).
- level
A number between 0 and 1 of the confidence level of the interval.
- 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.
- parametric
A flag specifying whether to perform parametric bootstrapping as opposed to non-parametrically resampling the original data with replacement.
- ...
Unused.
See also
ssd_hc() and ssd_plot()
Examples
fits <- ssd_fit_burrlioz(ssddata::ccme_boron)
predict(fits)
#> # A tibble: 99 × 11
#> dist proportion est se lcl ucl wt method nboot pboot samples
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <int> <dbl> <I<lis>
#> 1 invpare… 0.01 0.0228 NA NA NA 1 param… 0 NA <dbl>
#> 2 invpare… 0.02 0.0772 NA NA NA 1 param… 0 NA <dbl>
#> 3 invpare… 0.03 0.158 NA NA NA 1 param… 0 NA <dbl>
#> 4 invpare… 0.04 0.261 NA NA NA 1 param… 0 NA <dbl>
#> 5 invpare… 0.05 0.387 NA NA NA 1 param… 0 NA <dbl>
#> 6 invpare… 0.06 0.533 NA NA NA 1 param… 0 NA <dbl>
#> 7 invpare… 0.07 0.699 NA NA NA 1 param… 0 NA <dbl>
#> 8 invpare… 0.08 0.885 NA NA NA 1 param… 0 NA <dbl>
#> 9 invpare… 0.09 1.09 NA NA NA 1 param… 0 NA <dbl>
#> 10 invpare… 0.1 1.31 NA NA NA 1 param… 0 NA <dbl>
#> # ℹ 89 more rows