broom (version 0.3.7)

gam_tidiers: Tidying methods for a generalized additive model (gam)

Description

These methods tidy the coefficients of a "gam" object (generalized additive model) into a summary, augment the original data with information on the fitted values and residuals, and construct a one-row glance of the model's statistics.

Usage

## S3 method for class 'gam':
tidy(x, ...)
## S3 method for class 'gam':
glance(x, ...)

Arguments

x

gam object

...

extra arguments (not used)

Value

• All tidying methods return a data.frame without rownames, whose structure depends on the method chosen.

  tidy.gam returns the tidied output of the parametric ANOVA, with one row for each term in the formula. The columns match those in anova_tidiers.

  glance.gam returns a one-row data.frame with the columns

• df
  Degrees of freedom used by the coefficients
• logLik
  the data's log-likelihood under the model
• AIC
  the Akaike Information Criterion
• BIC
  the Bayesian Information Criterion
• deviance
  deviance
• df.residual
  residual degrees of freedom

Details

The "augment" method is handled by lm_tidiers.

See Also

lm_tidiers, anova_tidiers

Examples

if (require("gam", quietly = TRUE)) {
    data(kyphosis)
    g <- gam(Kyphosis ~ s(Age,4) + Number, family = binomial, data = kyphosis)
    tidy(g)
    augment(g)
    glance(g)
}