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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

View Course

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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