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Model selection of Bayesian linear mixed models using the marginal likelihood

Suppose a researcher is interested in estimating a linear mixed effect model (aka, multilevel model or hierarchical linear model) in R. Those who are used to frequentist…

A regularized network model (graphical lasso) with high rates of missing data

This post assumes you are interested in doing network modeling and have missing data. To be more specific, suppose you assume that the variables are continuous (or you would…

EMgaussian for Missing Data: Comparison vs. lavaan, norm, and Friends

For a recent project, I needed to be able to repeatedly estimate means and covariances for many items for many rather large datasets (well, large as far as Psychology/Health…