print.gam: Print a Generalized Additive Model object.

In mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

Print a Generalized Additive Model object.

Description

The default print method for a gam object.

Usage

## S3 method for class 'gam'
print(x, ...)

Arguments

x, ...

fitted model objects of class gam as produced by gam().

Details

Prints out the family, model formula, effective degrees of freedom for each smooth term, and optimized value of the smoothness selection criterion used. See gamObject (or names(x)) for a listing of what the object contains. summary.gam provides more detail.

Note that the optimized smoothing parameter selection criterion reported is one of GCV, UBRE(AIC), GACV, negative log marginal likelihood (ML), or negative log restricted likelihood (REML).

If rank deficiency of the model was detected then the apparent rank is reported, along with the length of the cofficient vector (rank in absense of rank deficieny). Rank deficiency occurs when not all coefficients are identifiable given the data. Although the fitting routines (except gamm) deal gracefully with rank deficiency, interpretation of rank deficient models may be difficult.

Author(s)

Simon N. Wood [e-mail]

References

Wood, S.N. (2017) Generalized Additive Models: An Introduction with R (2nd edition). CRC/ Chapmand and Hall, Boca Raton, Florida.

https://www.maths.ed.ac.uk/~swood34/

See Also

gam, summary.gam

mgcv documentation built on May 29, 2024, 4:34 a.m.