ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree ProcessPrior
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 + fileLICENSE |
| URL: | https://github.com/limengbinggz/ddtlcm |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | ddtlcm results |
Documentation:
| Reference manual: | ddtlcm.html ,ddtlcm.pdf |
| Vignettes: | Vignettes for ddtlcm: An R package for fitting tree-regularized Bayesian latent class models (source,R code) |
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:
Please use the canonical formhttps://CRAN.R-project.org/package=ddtlcmto link to this page.