bayesmanecfit
of models fitted with the brms packageR/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.