Latent Dirichlet Allocation Using 'tidyverse' Conventions

Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et at. (2003) < https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019), and 'tidymodels', Kuhn et al.< https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via collapsed Gibbs sampling. Also implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.