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Understanding Mixed-Effects Models Through Data Simulation
Author(s) -
Lisa M. DeBruine,
Dale J. Barr
Publication year - 2021
Publication title -
advances in methods and practices in psychological science
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2515-2467
pISSN - 2515-2459
DOI - 10.1177/2515245920965119
Subject(s) - mixed model , random effects model , computer science , variance (accounting) , generalized linear mixed model , experimental data , focus (optics) , r package , linear regression , population , machine learning , statistics , mathematics , meta analysis , programming language , medicine , physics , accounting , demography , sociology , optics , business

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