Latent Class Analysis with Dirichlet Diffusion Tree Process Prior R package ddtlcm version 0.2.1 Implements a Bayesian algorithm for overcoming weak separation in Bayesian latent class analysis. Reference: Li et al. (2023) <arXiv:2306.04700>. Software 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 Mengbing Li <mengbing@umich.edu> Comprehensive R Archive Network (CRAN) Mengbing Li [cre, aut] (ORCID: <https://orcid.org/0000-0002-2264-8006>), Briana Stephenson [ctb], Zhenke Wu [ctb] (ORCID: <https://orcid.org/0000-0001-7582-669X>) MIT + file LICENSE (https://CRAN.R-project.org/package=ddtlcm/LICENSE) 2024-04-04 application/tgz https://CRAN.R-project.org/package=ddtlcm doi:10.32614/CRAN.package.ddtlcm