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implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.

Last 30 days

This package has been downloaded 586 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 25 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 7,435 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Sep 11, 2024 with 72 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.