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Author Barreda, Santiago, author.

Title Bayesian multilevel models for repeated measures data : a conceptual and practical introduction in R / Santiago Barreda and Noah Silbert.

Publication Info. Abingdon, Oxon ; New York, NY : Routledge, [2023]

Copies

Location Call No. OPAC Message Status
 Axe 2nd Floor Stacks  519.542 B274b 2023    ---  Available
1 copy being processed for Axe Acquisitions Order.
Description 460 pages : illustrations (colour) ; 25 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Bibliography Includes bibliographical references and index.
Summary "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"-- Provided by publisher.
Subject Bayesian statistical decision theory.
R (Computer program language)
Multilevel models (Statistics)
Bayesian statistical decision theory. (OCoLC)fst00829019
Multilevel models (Statistics) (OCoLC)fst01028902
R (Computer program language) (OCoLC)fst01086207
ISBN 9781032259628 (hbk)
1032259620
9781032259635 (pbk)
1032259639
9781003285878 (ebk)
9781000869835 ePub ebook
9781000869781 PDF ebook

 
    
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