predict.fitdists {ssdtools}

Predict Hazard Concentrations of fitdists Object

Description

A wrapper on ssd_hc() that by default calculates all hazard concentrations from 1 to 99%.

Usage

## S3 method for class 'fitdists'
predict(
  object,
  percent = 1:99,
  ci = FALSE,
  level = 0.95,
  nboot = 1000,
  average = TRUE,
  delta = 7,
  min_pboot = 0.99,
  parametric = TRUE,
  control = NULL,
  ...
)

Arguments

object

The object.

percent

A numeric vector of percentages.

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 stats::optim().

...

Unused.

Details

It is useful for plotting purposes.

See Also

ssd_hc() and ssd_plot()

Examples

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