Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R by Barreda, Santiago

Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R (Paperback) (ISBN-13: 9781032259635)

Vendor: Santiago Barreda
Product type: Books
Format: Paperback
$64.95
$64.95
$64.95
Subtotal: $64.95
Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R by Barreda, Santiago

Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R

$64.95
Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R by Barreda, Santiago

Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R

$64.95
Format: Paperback
Description
Description
x

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.



Author: Santiago Barreda, Noah Silbert
ISBN-10: 1032259639
ISBN-13: 9781032259635
Publisher: Routledge
Language: English
Published: 05/18/2023
Pages: 460
Format: Paperback
Weight: 1.69lbs
Size: 9.61h x 6.69w x 0.98d
By Santiago Barreda
By Santiago Barreda
x

Santiago Barreda is a phonetician in the Linguistics Department at the University of California, Davis, USA, with a particular interest in speech perception.

Noah Silbert is a former Academic and is currently a practicing Stoic. His training and background are in phonetics, perceptual modeling, and statistics.

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