ecb_mod: ECB Linear Modelling Wizard

In ozjimbob/ecbtools: Environmental Change Biology Tools

Description

Simple wrapper for running lm, glm, lmer, glmer and nb.glmer models on a full suite of variable combinations, outputing an AIC table and w+ variable importance table.

Usage

ecb_mod(data, term.names, resp, random.def, model.family = gaussian(),
model.type = "lm")

Arguments

data	Data frame containing the model input.
term.names	Vector containing a list of the variables to be included in the model.
resp	Character string containing the response variable of the model.
random.def	If running a mixed model, a character string containing the random effect part of the model formula, eg. "(1|Site)".
model.family	Model family function, see family.
model.type	String defining the model type, can be lm, glm, lmer, glmer or nb.glmer.

Details

Details

Value

Returns a list containing the AIC table and w+ table.

Author(s)

Grant Williamson ([e-mail])

Examples

## Not run: 
data=read.csv("myfile.csv")

ecb_mod(data, term.names=c("MAP","Slope","Soil"), resp="Height",
random.def="(1|Site)", model.family = poisson(), model.type = "lmer")

## End(Not run)

ozjimbob/ecbtools documentation built on Jan. 18, 2021, 7:39 p.m.