https://thimeno1993.r-universe.devRecent package updates in thimeno1993R-universehttps://github.com/thimeno1993.pnghttps://thimeno1993.r-universe.devMon, 30 Mar 2026 23:45:12 GMTbd24f002@g.hit-u.ac.jp (Tomoya Himeno)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>.https://github.com/r-universe/thimeno1993/actions/runs/26875988597Mon, 30 Mar 2026 23:45:12 GMTmlstm0.1.6successhttps://thimeno1993.r-universe.devhttps://github.com/thimeno1993/mlstmmlstm-intro.Rmdmlstm-intro.htmlIntroduction to mlstm2026-03-21 14:10:292026-03-21 14:10:29