Chapter 3. Linear Models
This chapter will cover linear models, which are probably the most commonly used statistical methods to study the relationships between variables. The generalized linear model section will delve into a bit more detail than typical R books, discussing the nature of link functions and canonical link functions:
- Linear regression
- Linear model fits
- Analysis of variance models
- Generalized linear models
- Link functions and canonical link functions
- Generalized additive models
- Principal components analysis
- Clustering
- Discriminant analysis
