Fits latent Dirichlet allocation (LDA), supervised topic models, and multilevel supervised topic models for text data with multiple outcome variables. Core estimation routines are implemented in C++ using the 'Rcpp' ecosystem. For topic models, see Blei et al. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>. For supervised topic models, see Blei and McAuliffe (2007) <https://papers.nips.cc/paper_files/paper/2007/hash/d56b9fc4b0f1be8871f5e1c40c0067e7-Abstract.html>.
| Version: | 0.1.6 |
| Depends: | R (≥ 4.0.0) |
| Imports: | Rcpp, Matrix, data.table, RcppParallel, stats |
| LinkingTo: | Rcpp, RcppArmadillo, RcppParallel, BH |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-04-03 |
| DOI: | 10.32614/CRAN.package.mlstm |
| Author: | Tomoya Himeno [aut, cre] |
| Maintainer: | Tomoya Himeno <bd24f002 at g.hit-u.ac.jp> |
| BugReports: | https://github.com/thimeno1993/mlstm/issues |
| License: | MIT + file LICENSE |
| URL: | https://thimeno1993.github.io/mlstm/ |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Materials: | README, NEWS |
| CRAN checks: | mlstm results [issues need fixing before 2026-04-19] |
| Reference manual: | mlstm.html , mlstm.pdf |
| Vignettes: |
Introduction to mlstm (source, R code) |
| Package source: | mlstm_0.1.6.tar.gz |
| Windows binaries: | r-devel: mlstm_0.1.6.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): mlstm_0.1.6.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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