Gam Is The Extended Model From Glm
The main difference imho is that while classical forms of linear or generalized linear models assume a fixed linear or some other parametric form of the relationship between the dependent variable and the covariates GAM do not assume a priori any specific form of this relationship and can be used to reveal and estimate non-linear effects of the covariate on the dependent variable. Fits a generalized additive model GAM to data the term GAM being taken to include any quadratically penalized GLM and a variety of other models estimated by a quadratically penalised likelihood type approach see familymgcv. Lecture 5 Advanced Modern Regression Analysis Numerical Analysis Of Biological And Environmental Data John Birks Ppt Download More technical modeling details are described and demonstrated as well. Gam is the extended model from glm . The transformed mean response is related to the predictor variables not just. Generalized Linear Models Structure For example a common remedy for the var...