ssd_hc {ssdtools} | R Documentation |
Hazard Concentrations for Species Sensitivity Distributions
Description
Gets concentration(s) that protect specified percentage(s) of species.
Usage
ssd_hc(x, ...)
## S3 method for class 'list'
ssd_hc(x, percent = 5, hc = 5, ...)
## S3 method for class 'fitdists'
ssd_hc(
x,
percent = 5,
hc = 5,
ci = FALSE,
level = 0.95,
nboot = 1000,
average = TRUE,
delta = 7,
min_pboot = 0.99,
parametric = TRUE,
control = NULL,
...
)
## S3 method for class 'fitburrlioz'
ssd_hc(
x,
percent = 5,
ci = FALSE,
level = 0.95,
nboot = 1000,
min_pboot = 0.99,
parametric = FALSE,
...
)
Arguments
x |
The object. |
... |
Unused. |
percent |
A numeric vector of percentages. |
hc |
A whole numeric vector between 1 and 99 indicating the percent hazard concentrations (deprecated for percent). |
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. |
control |
A list of control parameters passed to |
Details
If ci = TRUE
uses parameteric bootstrapping to get confidence intervals on the
hazard concentrations(s).
Value
A tibble of corresponding hazard concentrations.
Methods (by class)
-
ssd_hc(list)
: Hazard Concentrations for Distributional Estimates -
ssd_hc(fitdists)
: Hazard Concentrations for fitdists Object -
ssd_hc(fitburrlioz)
: Hazard Concentrations for fitburrlioz Object '
See Also
predict.fitdists()
and ssd_hp()
.
Examples
fits <- ssd_fit_dists(ssddata::ccme_boron)
ssd_hc(fits)
ssd_hc(estimates(fits))
ssd_hc(ssd_match_moments())
fit <- ssd_fit_burrlioz(ssddata::ccme_boron)
ssd_hc(fit)