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cff-version: 1.2.0
message: 'To cite package "mlstm" in publications use:'
type: software
license: MIT
title: 'mlstm: Multilevel Supervised Topic Models with Multiple Outcomes'
version: 0.1.6
doi: 10.32614/CRAN.package.mlstm
abstract: 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>.
authors:
- family-names: Himeno
  given-names: Tomoya
  email: bd24f002@g.hit-u.ac.jp
repository: https://thimeno1993.r-universe.dev
repository-code: https://github.com/thimeno1993/mlstm
commit: d345ec5b4b5751cb8cb7b68706a487cd868e8e6d
url: https://thimeno1993.github.io/mlstm/
date-released: '2026-03-30'
contact:
- family-names: Himeno
  given-names: Tomoya
  email: bd24f002@g.hit-u.ac.jp