Doubly Classified Model with R

Doubly Classified Model with R by Teck Kiang Tan is an essential resource for anyone looking to delve into the practical applications of doubly classified models. Published by Springer Verlag in 2018, this softcover reprint of the original 1st edition (2017) spans 264 pages and offers a comprehensive introduction to this modeling approach. Utilizing R syntax, the book guides readers step-by-step in generating their own models, making it an excellent starting point for beginners and seasoned practitioners alike. Whether you are a student, researcher, or professional, this book will equip you with the knowledge and skills needed to effectively apply doubly classified models in your work. Enhance your statistical modeling capabilities and explore the intricacies of this fascinating subject with Teck Kiang Tan's insightful guidance.