Bayesian multilevel models

Complex models with many random effects it can be challenging to fit using standard software [see eager2017mixed and @gelman2014bayesian]. Many authors have noted that a Bayesian approach to model fitting can be advantageous for multilevel models.

A brief example of fitting multilevel models via MCMC is given in this section: Bayes via MCMC

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