A data frame of the predictions based on 1,000 bootstrap iterations.
Details
- proportion
The proportion of species affected (int).
- est
The estimated concentration (dbl).
- se
The standard error of the estimate (dbl).
- lcl
The lower confidence limit (dbl).
- se
The upper confidence limit (dbl).
- dist
The distribution (chr).
Examples
if (FALSE) { # \dontrun{
fits <- ssd_fit_dists(ssddata::ccme_boron)
set.seed(99)
boron_pred <- predict(fits, ci = TRUE)
} # }
head(boron_pred)
#> # A tibble: 6 × 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 0.402 0.0419 1.53 1 paramet… 1000 1 <dbl>
#> 2 average 0.02 0.531 0.518 0.110 2.03 1 paramet… 1000 1 <dbl>
#> 3 average 0.03 0.783 0.615 0.198 2.50 1 paramet… 1000 1 <dbl>
#> 4 average 0.04 1.02 0.701 0.300 2.89 1 paramet… 1000 1 <dbl>
#> 5 average 0.05 1.26 0.782 0.407 3.29 1 paramet… 1000 1 <dbl>
#> 6 average 0.06 1.48 0.859 0.520 3.72 1 paramet… 1000 1 <dbl>