GMTM
Gaussian Mixture Text Models for Topic Analysis
Gaussian mixture models and k-means for topic analysis of dense document vectors. The underlying clustering functions rely on the Armadillo library.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | GMTM_0.1.0.tar.gz |
96.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | GMTM_0.1.0.tar.gz |
98.9 KiB |
0.1.0 |
rolling source/ R- | GMTM_0.1.0.tar.gz |
8.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | GMTM_0.1.0.tar.gz |
96.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | GMTM_0.1.0.tar.gz |
98.9 KiB |
0.1.0 |
latest source/ R- | GMTM_0.1.0.tar.gz |
8.4 KiB |
0.1.0 |
2026-04-23 source/ R- | GMTM_0.1.0.tar.gz |
0 B |
Dependencies (latest)
Imports
- quanteda (>= 4.0.0)
- proxyC
- wordvector
- Rcpp
- RcppArmadillo
LinkingTo
- Rcpp
- RcppArmadillo (>= 0.7.600.1.0)
- quanteda
- testthat