Reading model diagnostics
gam.check() helps you understand whether you have enough basis functions to model the data.
After running checks on the model, answer the following question:
Which smooths do not have sufficient numbers of basis functions?
This exercise is part of the course
Nonlinear Modeling with Generalized Additive Models (GAMs) in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
library(mgcv)
# Fit the model
mod <- gam(y ~ s(x0, k = 5) + s(x1, k = 5) + s(x2, k = 5) + s(x3, k = 5),
data = dat, method = "REML")
# Run the check function
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