Find the best model for each response variable from an msenlm object
using the given criteria.
msenlm.best(object, best = "AICc")
Arguments
- object
msenlm multiple model fit.
- best
Select best model for each response variable according to
the following criteria: "nll", "AIC", "AICc", "BIC".
Value
msenlm object only containing best fitted models.
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"))
best <- msenlm.best(fits, best="AICc")
summary(best)
}