predict.fitburrlioz: Predict Hazard Concentrations of fitburrlioz Object

In ssdtools: Species Sensitivity Distributions

Predict Hazard Concentrations of fitburrlioz Object

Description

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. 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.

Details

It is useful for plotting purposes.

See Also

ssd_hc() and ssd_plot()

Examples

fits <- ssd_fit_burrlioz(ssddata::ccme_boron)
predict(fits)

ssdtools documentation built on April 4, 2025, 12:35 a.m.