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, parametric = FALSE, ...) ## S3 method for class 'gam' glance(x, ...)
x |
gam object |
parametric |
logical. Return parametric coefficients ( |
... |
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
called on an object from the gam package,
or an object from the mgcv package with parametric = FALSE
, returns the
tidied output of the parametric ANOVA with one row for each term in the formula.
The columns match those in anova_tidiers.
tidy.gam
called on a gam object from the mgcv package with
parametric = TRUE
returns the fixed coefficients.
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) }