tidylda

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) doi:10.21105/joss.01686, 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implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.

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