step_up: Step Up

In supermartha/marthaTools:

Description

Takes a model and a vector of factors to step up with. Builds a model with each one added and does model comparison with the simpler model for each, returning p-values and AIC.

Usage

step_up(model, to_test, aic_only = TRUE, dat = "df_put", type = "glm")

Arguments

model	model to step up from
to_test	vector of factor names to add (as strings, not objects)
aic_only	Boolean, defaults to TRUE. Don't remember what this does.
dat	name of the dataframe
type	type of model. Options are 'glmBinomial', 'glm', 'lmer', 'gam', 'gamBinomial'. Defaults to 'glm'.

Examples

step_up()

supermartha/marthaTools documentation built on July 26, 2020, 1:44 p.m.