`prebayesnecfit`

object.`R/expand_classes.R`

`expand_nec.Rd`

Extracts a range of statistics from a `prebayesnecfit`

object.

```
expand_nec(
object,
formula,
x_range = NA,
resolution = 1000,
sig_val = 0.01,
loo_controls,
...
)
```

- object
An object of class

`prebayesnecfit`

.- formula
Either a

`character`

string defining an R formula or an actual`formula`

object. See`bayesnecformula`

and`check_formula`

.- x_range
A range of predictor values over which to consider extracting ECx.

- resolution
The length of the predictor vector used for posterior predictions, and over which to extract ECx values. Large values will be slower but more precise.

- sig_val
Probability value to use as the lower quantile to test significance of the predicted posterior values against the lowest observed concentration (assumed to be the control), to estimate NEC as an interpolated NOEC value from smooth ECx curves.

- loo_controls
A named

`list`

of two elements ("fitting" and/or "weights"), each being a named`list`

containing the desired arguments to be passed on to`loo`

(via "fitting") or to`loo_model_weights`

(via "weights"). If "weights" is not provided by the user,`bnec`

will set the default`method`

argument in`loo_model_weights`

to "pseudobma". See ?`loo_model_weights`

for further info.- ...
Further arguments to internal function.

A `list`

of model statistical output derived from
the input model object.