topicmodels
Topic Models
Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2-17 |
rolling linux/jammy R-4.5 | topicmodels_0.2-17.tar.gz |
978.5 KiB |
0.2-17 |
rolling linux/noble R-4.5 | topicmodels_0.2-17.tar.gz |
979.0 KiB |
0.2-17 |
rolling source/ R- | topicmodels_0.2-17.tar.gz |
760.0 KiB |
0.2-17 |
latest linux/jammy R-4.5 | topicmodels_0.2-17.tar.gz |
978.5 KiB |
0.2-17 |
latest linux/noble R-4.5 | topicmodels_0.2-17.tar.gz |
979.0 KiB |
0.2-17 |
latest source/ R- | topicmodels_0.2-17.tar.gz |
760.0 KiB |
0.2-17 |
2026-04-26 source/ R- | topicmodels_0.2-17.tar.gz |
760.0 KiB |
0.2-17 |
2026-04-23 source/ R- | topicmodels_0.2-17.tar.gz |
760.0 KiB |
0.2-17 |
2026-04-09 windows/windows R-4.5 | topicmodels_0.2-17.zip |
1.1 MiB |
0.2-17 |
2025-04-20 source/ R- | topicmodels_0.2-17.tar.gz |
760.0 KiB |
Dependencies (latest)
Imports
- stats4
- methods
- modeltools
- slam
- tm (>= 0.6)