tidy.Gam: Tidy a(n) Gam 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 Gam
tidy(x, ...)

Value

A tibble::tibble() with columns:

df: Degrees of freedom used by this term in the model.
meansq: Mean sum of squares. Equal to total sum of squares divided by degrees of freedom.
p.value: The two-sided p-value associated with the observed statistic.
statistic: The value of a T-statistic to use in a hypothesis that the regression term is non-zero.
sumsq: Sum of squares explained by this term.
term: The name of the regression term.

Arguments

x

A Gam object returned from a call to gam::gam().

...

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

Tidy gam objects created by calls to mgcv::gam() with tidy.gam().

Examples

Run this code

if (FALSE) { # rlang::is_installed("gam")

# load libraries for models and data
library(gam)

# fit model
g <- gam(mpg ~ s(hp, 4) + am + qsec, data = mtcars)

# summarize model fit with tidiers
tidy(g)
glance(g)
}