Gets percent of species affected at specified concentration(s).
Usage
ssd_hp(x, ...)
# S3 method for fitdists
ssd_hp(
x,
conc,
ci = FALSE,
level = 0.95,
nboot = 1000,
average = TRUE,
delta = 7,
min_pboot = 0.99,
parametric = TRUE,
control = NULL,
...
)
Value
A tibble of corresponding hazard percents.
Arguments
x
The object.
...
Unused.
conc
A numeric vector of concentrations.
ci
A flag specifying whether to estimate confidence intervals (by parametric bootstrapping).
level
A number between 0 and 1 of the confidence level.
nboot
A count of the number of bootstrap samples to use to estimate the se and confidence limits. A value of 10000 is recommended for official guidelines.
average
A flag specifying whether to model average the estimates.
delta
A non-negative number specifying the maximum absolute Akaike Information-theoretic Criterion difference cutoff. Distributions with an absolute difference from the best model greater than the cutoff are excluded.
min_pboot
A number of the minimum proportion of bootstrap samples that must successfully fit
in the sense of returning a likelihood.
parametric
A flag specifying whether to perform parametric as opposed to non-parametric bootstrapping.