g {pgam}

Utility function

Description

Collect information to smooth the term in its argument. Used in the model formula.

Usage

g(var, df = NULL)

Arguments

var

variable to be smoothed

df

equivalent degrees of freedom to be passed to the smoother. If NULL, smoothing parameter is selected by cross-validation

Details

This function only sets things up for model fitting. The smooth terms are actually fitted by bkfsmooth.

Value

List containing the same elements of its argument.

Note

This function is intended to be called from within a model formula.

Author(s)

Washington Leite Junger [e-mail]

References

Green, P. J., Silverman, B. W. (1994) Nonparametric Regression and Generalized Linear Models: a roughness penalty approach. Chapman and Hall, London

Hastie, T. J., Tibshirani, R. J.(1990) Generalized Additive Models. Chapman and Hall, London

Junger, W. L. (2004) Semiparametric Poisson-Gamma models: a roughness penalty approach. MSc Dissertation. Rio de Janeiro, PUC-Rio, Department of Electrical Engineering.

See Also

pgam, formparser