Tidy a(n) smooth.spine object

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, ...)

Arguments

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.

Value

A one-row tibble::tibble with columns:

spar

smoothing parameter

lambda

choice of lambda corresponding to spar

df

equivalent degrees of freedom

crit

minimized criterion

pen.crit

penalized criterion

cv.crit

cross-validation score

See also

augment(), stats::smooth.spline()

Other smoothing spline tidiers: augment.smooth.spline