tidy.glmRob {broom}

Tidy a(n) glmRob object

Description

Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

Usage

## S3 method for class 'glmRob'
tidy(x, ...)

Arguments

x

A glmRob object returned from robust::glmRob().

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Two exceptions here are:

• tidy() methods will warn when supplied an exponentiate argument if it will be ignored.

• augment() methods will warn when supplied a newdata argument if it will be ignored.

Details

For tidiers for robust models from the MASS package see tidy.rlm().

See Also

robust::glmRob()

Other robust tidiers: augment.lmRob(), glance.glmRob(), glance.lmRob(), tidy.lmRob()

Examples

# load libraries for models and data
library(robust)

# fit model
gm <- glmRob(am ~ wt, data = mtcars, family = "binomial")

# summarize model fit with tidiers
tidy(gm)
glance(gm)