next up previous
Next: User-defined variance functions in Up: Spatial and spatio-temporal data Previous: Standard errors in gam(),

Using gamm()

Simon Wood's gamm() function in the mgcv package allows one to fit smoothing terms through the gam() functionality and random effects through the lme() functionality.

Keywords: predict, generalized additive mixed model.

Last modified 12/28/07.



Chris Paciorek 2012-01-21