Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models
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Crossed random effects models (CREMs) are particularly useful in longitudinal data applications because they allow researchers to account for the impact of dynamic group membership on individual outcomes. However, no research has determined what data condition... ...