Multilevel Supervised Topic Models with Multiple Outcomes // 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/d56b9fc4b0f1be8871f5 e1c40c0067e7-Abstract.html.