ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization

R Submitted 19 September 2023Published 15 July 2024
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Editor: @Nikoleta-v3 (all papers)
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Authors

Mengbing Li (0000-0002-2264-8006), Bolin Wu, Briana Stephenson, Zhenke Wu (0000-0001-7582-669X)

Citation

Li et al., (2024). ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization. Journal of Open Source Software, 9(99), 6220, https://doi.org/10.21105/joss.06220

@article{Li2024, doi = {10.21105/joss.06220}, url = {https://doi.org/10.21105/joss.06220}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {99}, pages = {6220}, author = {Mengbing Li and Bolin Wu and Briana Stephenson and Zhenke Wu}, title = {ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization}, journal = {Journal of Open Source Software} }
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Dirichlet diffusion tree latent class model ddtlcm nutrition epidemiology

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