R: Print a Generalized Additive Model object.

print.gam {mgcv} | R Documentation

## 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 simon.wood@r-project.org

### References

Wood, S.N. (2006) Generalized Additive Models: An Introduction with R. CRC/ Chapmand and Hall, Boca Raton, Florida.

http://www.maths.bath.ac.uk/~sw283/

### See Also

`gam`, `summary.gam`

[Package mgcv version 1.8-3 Index]