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

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Abingdon, Oxon ; New York, NY : Routledge, 2023Description: 1 Online-RessourceISBN:
  • 1003285872
  • 9781000869835
  • 1000869830
  • 9781000869781
  • 1000869784
Subject(s): Additional physical formats: 9781003285878. | 9781032259628. | 9781032259635. | Erscheint auch als: Bayesian multilevel models for repeated measures data. Druck-Ausgabe Abingdon, Oxon : Routledge, [2023]MSC: MSC: 62C10LOC classification:
  • QA279.5
Online resources: 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"--PPN: PPN: 1882630785Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
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