Bayesian Multilevel Models for Repeated Measures Data : A Conceptual and Practical Introduction in R Paperback / softback
by Santiago Barreda, Noah Silbert
Paperback / softback
Description
This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language.
Featuring a series of fully worked analyses of repeated measures data, the focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book.
In this book, the authors offer an introduction to statistics entirely focused on repeated measures data beginning with very simple two-group comparisons and ending with multinomial regression models with many ‘random effects’.
Across 13 well-structured chapters, readers are provided with all the code necessary to run all the analyses and make all the plots in the book, as well as useful examples of how to interpret and write up their own analyses.
This book provides an accessible introduction for readers in any field, with any level of statistical background.
Senior undergraduate students, graduate students, and experienced researchers looking to ‘translate’ their skills with more traditional models to a Bayesian framework will benefit greatly from the lessons in this text.
Information
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Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:460 pages, 4 Tables, black and white; 123 Line drawings, color; 123 Illustrations, color
- Publisher:Taylor & Francis Ltd
- Publication Date:18/05/2023
- Category:
- ISBN:9781032259635
Other Formats
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£49.99
£46.35
Information
-
Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:460 pages, 4 Tables, black and white; 123 Line drawings, color; 123 Illustrations, color
- Publisher:Taylor & Francis Ltd
- Publication Date:18/05/2023
- Category:
- ISBN:9781032259635