12 Longitudinal Data and Random Regression

Learning Objectives

By the end of this chapter, you will be able to:

Distinguish fixed from random regression and state what each can model
Build a covariate matrix of Legendre polynomials
Set up and solve a random regression model
Recover the covariance function and per-time-point variances from RR coefficients
Fit and interpret a reaction norm as a special case

Assumes Ch 8, Ch 11.

Chapter in progress

This chapter has not been written yet. The objectives above are the contract it will be written against — they are taken from CHAPTERS.md, which is the outline for the whole book.

Purpose. Traits measured along a trajectory.

---
title: "Longitudinal Data and Random Regression"
---

::: {.callout-note icon=false}
## Learning Objectives

By the end of this chapter, you will be able to:

1. **Distinguish** fixed from random regression and state what each can model
2. **Build** a covariate matrix of Legendre polynomials
3. **Set** up and solve a random regression model
4. **Recover** the covariance function and per-time-point variances from RR coefficients
5. **Fit** and interpret a reaction norm as a special case
:::

*Assumes Ch 8, Ch 11.*

::: {.callout-warning}
## Chapter in progress

This chapter has not been written yet. The objectives above are the contract it will be written
against — they are taken from `CHAPTERS.md`, which is the outline for the whole book.

**Purpose.** Traits measured along a trajectory.
:::