`prebayesnecfit`

objects.`R/expand_classes.R`

`expand_manec.Rd`

Extracts a range of statistics from a list of `prebayesnecfit`

objects.

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

- object
A

`list`

of objects of class`prebayesnecfit`

.- formula
Either a

`character`

string defining an R formula or an actual`formula`

object. See`bayesnecformula`

and`check_formula`

. It could also be a`list`

of formulas if multiple objects are passed to`object`

.- 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.

A `list`

of model statistical output derived from
the input model list.