New method simplifies data visualization for improved model accuracy.
The article discusses how plots commonly used for generalized linear models can also be applied to generalized additive models with minor adjustments. By replacing certain predictors, plots like residual plots and response plots can be used effectively for GAMs. Comparing the estimated additive predictor to the estimated sufficient predictor can help assess the goodness of fit for both GLMs and GAMs.