Fixing problems with model diagnostics
You can use gam.check() to improve models by updating them based on its results.
Questo esercizio fa parte del corso
Nonlinear Modeling with Generalized Additive Models (GAMs) in R
Istruzioni dell'esercizio
- Run the model diagnostics on
mod. - Based on the diagnostics, re-fit the model as
mod2, changing the number of basis functions (k) for failing smooths. - Run the model diagnostics on
mod2to ensure you have fixed the issue.
esercizio interattivo pratico
Prova questo esercizio completando questo codice di esempio.
library(mgcv)
# Fit the model
mod <- gam(y ~ s(x0, k = 3) + s(x1, k = 3) + s(x2, k = 3) + s(x3, k = 3),
data = dat, method = "REML")
# Check the diagnostics
___
# Refit to fix issues
mod2 <- gam(y ~ s(x0, k = ___) + s(x1, k = ___) + s(x2, k = ___) + s(x3, k = ___),
data = dat, method = "REML")
# Check the new model
___