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pgam (version 0.4.1)

g: 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

Value

  • List containing the same elements of its argument.

Details

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

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