Santiago Barreda,Noah Silbert
Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R
Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R
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- More about Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R
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.
• A practical introduction to multilevel modelling for non-specialists
• Multilevel models and repeated measures analysis throughout the book • Multiple fully worked examples of complex analyses, including code and data
• Modern perspective on modelling rather than hypothesis testing
• Conceptual, visual, geometrical explanation of statistics and regression coefficients
Weight: 900g
Dimension: 246 x 174 (mm)
ISBN-13: 9781032259635
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