vimixr
Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model
Collapsed Variational Inference for a Dirichlet Process (DP) mixture model with unknown covariance matrix structure and DP concentration parameter. It enables efficient clustering of high-dimensional data with significantly improved computational speed than traditional MCMC methods. The package incorporates 8 parameterisations and corresponding prior choices for the unknown covariance matrix, from which the user can choose and apply accordingly.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | vimixr_0.1.2.tar.gz |
294.0 KiB |
0.1.2 |
rolling linux/noble R-4.5 | vimixr_0.1.2.tar.gz |
298.3 KiB |
0.1.2 |
rolling source/ R- | vimixr_0.1.2.tar.gz |
118.3 KiB |
0.1.2 |
latest linux/jammy R-4.5 | vimixr_0.1.2.tar.gz |
294.0 KiB |
0.1.2 |
latest linux/noble R-4.5 | vimixr_0.1.2.tar.gz |
298.3 KiB |
0.1.2 |
latest source/ R- | vimixr_0.1.2.tar.gz |
118.3 KiB |
0.1.2 |
2026-04-26 source/ R- | vimixr_0.1.2.tar.gz |
118.3 KiB |
0.1.2 |
2026-04-23 source/ R- | vimixr_0.1.2.tar.gz |
118.3 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | vimixr_0.1.2.zip |
617.1 KiB |