Print summary information for mulitple senlm model fits. Select the best model fit for each response variable using the given criteria.

# S3 method for msenlm
summary(object, best = NULL, ...)

Arguments

object

Model fit.

best

Select best model for each response variable according to the following criteria: "nll", "AIC", "AICc", "BIC".

...

Other arguments that will be ignored.

Value

Data frame summarising senlm model fits.

Examples


if (FALSE) {

## Summarise data
models <- set_models(mean_fun=c("gaussian", "beta"),
                     err_dist=c("zinb", "zip"), method="crossed")
fits <- msenlm(models=models, data=haul, xvar="depth",
               yvar=c("Albatrossia.pectoralis", "Sebastolobus.altivelis"))
summary(fits)
summary(fits, best="AICc")
}