Use summary() on a gam object

DESCRIPTION:

Produces a summary of a fitted gam object.

USAGE:

summary.gam(object, dispersion) 

REQUIRED ARGUMENTS:

object
fitted gam object.

OPTIONAL ARGUMENTS:

dispersion
dispersion parameter. For binomial and poisson distributions, this will be one.

DETAILS:

This is a method for the function summary() for objects inheriting from class gam. See summary or summary.glm for the general behavior of this function.
Since GAM functions concentrate on terms rather than individual coefficients, coefficients are not returned by summary.gam(). Instead an anova object is returned that summarizes the effects of the nonparametric components. See anova.gam for more details.

REFERENCES:

Chambers, J. M. and Hastie, T. J. (1992). Statistical Models in S. Wadsworth, Pacific Grove, CA., Chapter 7.4.4.

SEE ALSO:

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