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stat.CO2023
ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization
Mengbing Li, Bolin Wu, Briana Stephenson +1
Traditional applications of latent class models (LCMs) often focus on scenarios where a set of unobserved classes are well-defined and easily distinguishable. However, in numerous…
stat.ME2023★ 1 cited
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
Mengbing Li, Briana Stephenson, Zhenke Wu
Dietary patterns synthesize multiple related diet components, which can be used by nutrition researchers to examine diet-disease relationships. Latent class models (LCMs) have been…