Topic: General linear model (ANOVA, ANCOVA), generalized linear models (logistic, Poisson regression).
glm() for binary and count dataHW3: Generalized Linear Regression — due Module 4 Wednesday. Submit on Canvas.
---
title: "Module 3: Generalized Linear Models"
---
::: {.week-header}
**Topic:** General linear model (ANOVA, ANCOVA), generalized linear models (logistic, Poisson regression).
:::
## Learning Objectives
- Distinguish general vs. generalized linear models
- Fit GLMs with `glm()` for binary and count data
- Interpret model output and link functions
- Assess model fit
## Slides
::: {.file-list}
- [L5 General Linear Model (PDF)](../Week%203/L5%20General%20Linear%20Model.pdf)
- [L6 General(ized) Linear Regression (PDF)](../Week%203/L6%20General%28ized%29%20Linear%20Regression.pdf)
:::
## R Code
::: {.file-list}
- [L5 General Linear Model code.R](../Week%203/L5%20General%20Linear%20Model%20code.R)
- [L6 General(ized) Linear Regression.R](../Week%203/L6%20General%28ized%29%20Linear%20Regression.R)
:::
## Key Packages
```r
# base R — no extra packages required
```
## Assignment
**HW3: Generalized Linear Regression** — due Module 4 Wednesday. Submit on Canvas.