Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
A hands-on introduction to generalized linear and multilevel models in R, guiding readers through applied statistical modeling beyond traditional linear regression.
About This Book
This book introduces readers to generalized linear models and multilevel modeling using the R programming language.
It is designed for students and practitioners who want to expand their statistical modeling skills beyond multiple linear regression.
The text emphasizes applied techniques and provides examples using real data sets.
Readers will learn how to fit, interpret, and diagnose a variety of regression models in R.
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