`bayesmanecfit`

of models fitted with the brms package`R/bayesmanecfit-class.R`

`bayesmanecfit-class.Rd`

Multiple models fitted with the
`bayesnec`

package are
represented as a `bayesmanecfit`

object, which contains the original
`brmsfit`

fitted objects, names of non-linear models that
were fitted, model averaging WAIC stats, sample size, mean posterior NEC
values, mean model averaged predictions on the data scale, model averaged
residuals, full posterior distribution of predicated values, and summary
statistics of NEC statistics.

See `methods(class = "bayesmanecfit")`

for an overview of
available methods.

`mod_fits`

A

`list`

of fitted model outputs of class`prebayesnecfit`

for each of the fitted models.`success_models`

A

`character`

vector indicating the name of the successfully fitted models.`mod_stats`

A

`data.frame`

of model fit statistics.`sample_size`

The size of the posterior sample. Information on the priors used in the model.

`w_nec_posterior`

The model-weighted posterior estimate of the NEC.

`w_predicted_y`

The model-weighted predicted values for the observed data.

`w_residuals`

Model-weighted residual values (i.e. observed - w_predicted_y).

`w_pred_vals`

A

`list`

containing model-weighted posterior predicted values based on the supplied`precision`

and`x_range`

.`w_nec`

The summary stats (median and 95% credibility intervals) of w_nec_posterior.