| g {pgam} | R Documentation |
Collect information to smooth the term in its argument. Used in the model formula.
g(var, df = NULL)
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 |
This function only sets things up for model fitting. The smooth terms are actually fitted by bkfsmooth.
List containing the same elements of its argument.
This function is intended to be called from within a model formula.
Washington Leite Junger wjunger@ims.uerj.br
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) Modelo Poisson-Gama Semi-Parametrico: Uma Abordagem de Penalizacao por Rugosidade. MSc Thesis. Rio de Janeiro, PUC-Rio, Departamento de Engenharia Eletrica