manecsummary-class {bayesnec} R Documentation

## Class manecsummary of models fitted with the brms package

### Description

Multiple models fitted with the bayesnec package are summarised as a manecsummary object, which contains the name of the non-linear models fitted, the family distribution used to fit all the models, the total post-warm-up sample size, a table containing the model weights, the method to calculate the weights, whether this model is an ECx-type model (see details below), and the ECx summary values should the user decide to calculate them.

### Details

See methods(class = "manecsummary") for an overview of available methods.

### Slots

models

A character string indicating the name of the fitted non-linear models.

family

A list indicating the family distribution and link function used to fit all the models.

sample_size

The total post-warm-up sample size.

mod_weights

A table containing the model weights.

mod_weights_method

The method to calculate the weights.

ecx_mods

A logical indicating which models are ECx-type models.

nec_vals

The model-averaged NEC values. Note that if model stack contains ECx-type models, these will be via NSEC proxies.

ecs

A list containing the ECx values should the user decide to calculate them (see the non-exported bayesnec:::summary.bayesnecfit help file for details). Different from the single-model case of class bayesnecfit, these ECx estimates will be based on the model weights.

rhat_issues

A list detailing whether each fitted model exhibited convergence issues based on the Rhat evaluation.

bayesnec, bnec, bayesnecfit, bayesmanecfit, necsummary