#2180. Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus

July 2026publication date
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5 total number of authors per manuscript3530 $

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Journal’s subject area:
Modeling and Simulation;
Decision Sciences (all);
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Abstract:
In this paper, we provide step-by-step illustrations and comparisons of options to fit Bayesian Multilevel Vector Autoregressive Models models using Stan, JAGS and Mplus, supplemented with a Monte Carlo simulation study. An empirical example is used to demonstrate the utility of mlVAR models in studying intra- and inter-individual variations in affective dynamics.
Keywords:
affective dynamics; Bayesian modeling; missing data; Multilevel vector autoregressive models

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