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September 12, 2025

MultiLevelOptimalBayes (MLOB): An R package for Regularized Bayesian Estimation of Multilevel Latent Variable Models with Covariates

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MLOB estimates between-group effects in multilevel latent variable models, suggesting robust results in small samples.

MLOB achieves robust estimations even in small samples, improving confidence in psychological research.
The regularized Bayesian estimator reduces mean squared error by balancing bias and variance effectively.
MLOB's implementation supports unbalanced group sizes, enhancing flexibility in practical research applications.
The tool provides comprehensive inference options, including estimates, standard errors, p-values, and confidence intervals.

Dashuk et al. (2025) studied this question.

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