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.
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.
See Also
tidy(), binGroup::binWidth()
Other bingroup tidiers:
glance.binDesign(),
tidy.binDesign()
if (FALSE) { # rlang::is_installed("binGroup")# load librarieslibrary(binGroup)
# fit modelbw <- binWidth(100, .1)
bw
# summarize model fit with tidierstidy(bw)
}