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.
## S3 method for class 'lmRob' tidy(x, ...)
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
For tidiers for robust models from the MASS package see
Other robust tidiers:
# load modeling library library(robust) # fit model m <- lmRob(mpg ~ wt, data = mtcars) # summarize model fit with tidiers tidy(m) augment(m) glance(m)
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