Discrete Choice Analysis with R

Discover the intricate world of choice analysis with "Discrete Choice Analysis with R" by Antonio Páez, published by Springer International Publishing AG in 2024. This comprehensive guide spans 332 pages, providing readers with a robust foundation in data operations and the essential theories behind choice analysis. As you progress, you will delve into advanced models such as latent class logit models, mixed logit models, and ordinal logit models that account for taste heterogeneity. Ideal for both beginners and seasoned researchers, this book equips you with the tools to tackle complex decision-making scenarios using R. Enhance your understanding of discrete choice analysis and elevate your analytical skills with this essential resource.