best.vars: Best variables

In mglmn: Model Averaging for Multivariate GLM with Null Models

Description

Returns variables for the best model based on AIC

Usage

best.vars(x)

Arguments

x	A list of results of 'maglm' and 'mamglmg'

Value

A vector of terms of the best model.

See Also

maglm, mamglm

Examples

#load species composition and environmental data
data(capcay)
adj.sr <- capcay$adj.sr
env_sp <- capcay$env_sp

#to fit a poisson regression model:
res <- maglm(data = env_sp, y = "adj.sr", family = "gaussian")

best.vars(res)

mglmn documentation built on July 29, 2020, 5:06 p.m.