tidylda
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)<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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.7 |
rolling linux/jammy R-4.5 | tidylda_0.0.7.tar.gz |
771.2 KiB |
0.0.7 |
rolling linux/noble R-4.5 | tidylda_0.0.7.tar.gz |
775.5 KiB |
0.0.7 |
rolling source/ R- | tidylda_0.0.7.tar.gz |
591.4 KiB |
0.0.7 |
latest linux/jammy R-4.5 | tidylda_0.0.7.tar.gz |
771.2 KiB |
0.0.7 |
latest linux/noble R-4.5 | tidylda_0.0.7.tar.gz |
775.5 KiB |
0.0.7 |
latest source/ R- | tidylda_0.0.7.tar.gz |
591.4 KiB |
0.0.7 |
2026-04-26 source/ R- | tidylda_0.0.7.tar.gz |
591.4 KiB |
0.0.7 |
2026-04-23 source/ R- | tidylda_0.0.7.tar.gz |
591.4 KiB |
0.0.7 |
2026-04-09 windows/windows R-4.5 | tidylda_0.0.7.zip |
1.1 MiB |
0.0.5 |
2025-04-20 source/ R- | tidylda_0.0.5.tar.gz |
590.0 KiB |