ddtlcm-package: ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree...
In ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree Process Prior
ddtlcm-package R Documentation
ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree Process Prior
Description
Implements a Bayesian algorithm for overcoming weak separation in Bayesian latent class analysis. Reference: Li et al. (2023) arXiv:2306.04700.
Author(s)
Maintainer: Mengbing Li mengbing@umich.edu (ORCID)
Other contributors:
Briana Stephenson bstephenson@hsph.harvard.edu [contributor]
Zhenke Wu zhenkewu@umich.edu (ORCID) [contributor]
See Also
Useful links:
ddtlcm documentation built on May 29, 2024, 5:41 a.m.
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| ddtlcm-package | R Documentation |
ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree Process Prior
Description
Implements a Bayesian algorithm for overcoming weak separation in Bayesian latent class analysis. Reference: Li et al. (2023) arXiv:2306.04700.
Author(s)
Maintainer: Mengbing Li mengbing@umich.edu (ORCID)
Other contributors:
Briana Stephenson bstephenson@hsph.harvard.edu [contributor]
Zhenke Wu zhenkewu@umich.edu (ORCID) [contributor]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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