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Bayesian Multilevel Models for Repeated Measures Data : A Conceptual and Practical Introduction in R
by Santiago Barreda and Noah Silbert
Other Available Formats
Overview
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, focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book.
This item is Non-Returnable
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Details
- ISBN-13: 9781032259628
- ISBN-10: 1032259620
- Publisher: Routledge
- Publish Date: May 2023
- Dimensions: 9.61 x 6.69 x 1.06 inches
- Shipping Weight: 2.13 pounds
- Page Count: 460
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