ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree Process Prior
Implements a Bayesian algorithm for overcoming weak separation in Bayesian latent class analysis. Reference: Li et al. (2023) <doi:10.48550/arXiv.2306.04700>.
| Version: | 0.2.1 |
| Depends: | R (≥ 4.3) |
| Imports: | ape (≥ 5.6-2), data.table (≥ 1.14.4), extraDistr (≥ 1.9.1), ggplot2 (≥ 3.4.0), ggpubr (≥ 0.6.0), ggtext (≥ 0.1.2), ggtree (≥ 3.4.0), label.switching (≥ 1.8), matrixStats (≥ 0.62.0), methods (≥ 4.2.3), phylobase (≥ 0.8.10), poLCA (≥ 1.6.0.1), testthat (≥ 3.1.7), truncnorm (≥ 1.0-8), BayesLogit (≥ 2.1), Matrix (≥ 1.5-1), Rdpack (≥ 2.5), R.utils (≥ 2.12.2) |
| Suggests: | knitr, parallel, rmarkdown, xfun |
| Published: | 2024-04-04 |
| DOI: | 10.32614/CRAN.package.ddtlcm |
| Author: | Mengbing Li  [cre,
aut],
Briana Stephenson [ctb],
Zhenke Wu [ctb] |
| Maintainer: | Mengbing Li <mengbing at umich.edu> |
| BugReports: | https://github.com/limengbinggz/ddtlcm/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/limengbinggz/ddtlcm |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | ddtlcm results |
Documentation:
| Reference manual: | ddtlcm.pdf |
| Vignettes: |
Vignettes for ddtlcm: An R package for fitting tree-regularized Bayesian latent class models |
Downloads:
| Package source: | ddtlcm_0.2.1.tar.gz |
| Windows binaries: | r-devel: ddtlcm_0.2.1.zip, r-release: ddtlcm_0.2.1.zip, r-oldrel: ddtlcm_0.2.1.zip |
| macOS binaries: | r-release (arm64): ddtlcm_0.2.1.tgz, r-oldrel (arm64): ddtlcm_0.2.1.tgz, r-release (x86_64): ddtlcm_0.2.1.tgz, r-oldrel (x86_64): ddtlcm_0.2.1.tgz |
| Old sources: | ddtlcm archive |
Linking:
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