Generalized additive model
= Generalized additive model
{wiki}
A generalized additive model has <linear predictor> $g(\mu_i)=\alpha+\sum_j s_j(x_{ij})$. Centering the smooth functions identifies the intercept. The response family and <link function> remain part of the model; an unspecified software family must not be inferred from the response name.