Conclusion

Generalized Linear Models in R

Richard Erickson

Instructor

What you've learned

• How GLM extends LM:
  • Poisson Error term
  • Binomial Error term
• Understanding and plotting results
• GLM with multiple regression

Where to from here?

• DataCamp Multiple (linear) regression course in R (if you missed it)
• Extending to include random effects with Hierarchical and mixed-effect models in R
• Fit generalized additive models in R (GAMs) to non-linear models
• Decide what coefficients to use with model selection such as AIC
• Many other types of regression
• Searching and R packages documentation to learn more

Happy coding!

Generalized Linear Models in R