| importance.glm {tornado} | R Documentation |
GLM variable importance plot
Description
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
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)
[Package tornado version 0.1.3 Index]