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GLM variable importance plot

Source: R/importance_glm.R
importance.glm.Rd

GLM variable importance plot

Usage

# S3 method for class 'glm'
importance(model_final, model_null, dict = NA, ...)

Arguments

model_final

a model object

model_null

a glm object for the null model

dict

a dictionary to translate the model variables to plotting variables

...

arguments passed to other methods

Value

an object of type importance_plot

type

the type of importance plot

data

the importance data required for the plot

See also

importance

Examples

gtest <- glm(mpg ~ cyl*wt*hp + gear + carb, data=mtcars, family=gaussian)
gtestreduced <- glm(mpg ~ 1, data=mtcars, family=gaussian)
imp <- importance(gtest, gtestreduced)
plot(imp)


gtest <- glm(mpg ~ cyl + wt + hp + gear + carb, data=mtcars, family=gaussian)
gtestreduced <- glm(mpg ~ 1, data=mtcars, family=gaussian)
imp <- importance(gtest, gtestreduced)
plot(imp)


gtest <- glm(vs ~ wt + disp + gear, data=mtcars, family=binomial(link="logit"))
gtestreduced <- glm(vs ~ 1, data=mtcars, family=binomial(link="logit"))
imp <- importance(gtest, gtestreduced)
plot(imp)