Linear Model and Extensions

TL;DR

This book offers an intermediate-level introduction to linear models, combining rigorous proofs and heuristics, with R code for simulations and case studies, based on a decade of teaching at UC Berkeley.

Contribution

It provides a comprehensive, accessible resource on linear models with practical R implementations, bridging theory and application.

Findings

Includes R code for all simulations and case studies

Balances rigorous proofs with heuristic explanations

Based on ten years of teaching experience

Abstract

I developed the lecture notes based on my ``Linear Model'' course at the University of California, Berkeley over the past ten years. This book provides an intermediate-level introduction to the linear model. It balances rigorous proofs and heuristic arguments. This book provides R code to replicate all simulation studies and case studies.