Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R
by Santiago Barreda
Title:
Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R
Author:
Santiago Barreda
Edited by:
Noah Silbert
Format:
Paperback
Number of pages:
460 pages, 4 Tables, black and white; 123 Line drawings, color; 123 Illustrations, color
Publisher:
Taylor & Francis Ltd (Sales)
ISBN-13:
9781032259635
EAN:
9781032259635
Classifications:
Research and information: general
Weight (g):
1064
Dimensions (mm):
174 x 246 x 29
Publication Country:
United Kingdom
Language:
English
Condition:
New
Price:£67.19
1 copies in stock
Qty
Description
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.
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