HAMMER
High-Dimensional Factor-Analytic Representation Modeling and Metrics
The goal of 'HAMMER' is to provide factor analytic representation learningand associated determinacy metrics for very-high-dimensional data. It projects high-dimensional data onto low-dimensional generative latent sources and assesses the uncertainty in the projection. The projection is distribution-free, scale-equivariant, and efficient.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | HAMMER_1.0.tar.gz |
396.8 KiB |
1.0 |
rolling linux/noble R-4.5 | HAMMER_1.0.tar.gz |
396.7 KiB |
1.0 |
rolling source/ R- | HAMMER_1.0.tar.gz |
373.0 KiB |
1.0 |
latest linux/jammy R-4.5 | HAMMER_1.0.tar.gz |
396.8 KiB |
1.0 |
latest linux/noble R-4.5 | HAMMER_1.0.tar.gz |
396.7 KiB |
1.0 |
latest source/ R- | HAMMER_1.0.tar.gz |
373.0 KiB |
1.0 |
2026-04-23 source/ R- | HAMMER_1.0.tar.gz |
0 B |