Plot Variable Importance for a GLMNET model — importance.cv.glmnet • tornado

Plot Variable Importance for a GLMNET model

Usage

# S3 method for cv.glmnet
importance(model_final, model_data, form, dict = NA, nperm = 500, ...)

Arguments

model_final: a model object
model_data: the data used to fit the model
form: the model formula
dict: a variable dictionary for plotting
nperm: the number of permutations used to calculate the importance
...: 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

Examples

if (requireNamespace("glmnet", quietly = TRUE))
{
  form <- formula(mpg ~ cyl*wt*hp)
  mf <- model.frame(form, data = mtcars)
  mm <- model.matrix(mf, mf)
  gtest <- glmnet::cv.glmnet(x = mm, y = mtcars$mpg, family = "gaussian")
  imp <- importance(gtest, mtcars, form, nperm = 50)
  plot(imp)
}