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 cross 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 smooth.spline
glance(x, ...)A smooth.spline object returned from stats::smooth.spline().
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. Additionally, if you pass
newdata = my_tibble to an augment() method that does not
accept a newdata argument, it will use the default value for
the data argument.
A one-row tibble::tibble with columns:
smoothing parameter
choice of lambda corresponding to spar
equivalent degrees of freedom
minimized criterion
penalized criterion
cross-validation score
augment(), stats::smooth.spline()
Other smoothing spline tidiers:
augment.smooth.spline()