gam_tidiers {broom} | R Documentation |
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.
## S3 method for class 'gam' tidy(x, ...) ## S3 method for class 'gam' glance(x, ...)
x |
gam object |
... |
extra arguments (not used) |
The "augment" method is handled by lm_tidiers.
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 for gam package 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 |
if (require("gam", quietly = TRUE)) { data(kyphosis) g <- gam(Kyphosis ~ s(Age,4) + Number, family = binomial, data = kyphosis) tidy(g) augment(g) glance(g) }