Package: HAMMER 1.1
Carel F.W. Peeters
HAMMER: High-Dimensional Factor-Analytic Representation Modeling and Metrics
The goal of 'HAMMER' is to provide factor analytic representation learning and 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. For details, see Peeters (2026) <doi:10.48550/arXiv.2606.28854>.
Authors:
HAMMER_1.1.tar.gz
HAMMER_1.1.tar.gz(r-4.7-any)HAMMER_1.1.tar.gz(r-4.6-any)
HAMMER_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
HAMMER/json (API)
| # Install 'HAMMER' in R: |
| install.packages('HAMMER', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ADmbolites - R data object with metabolomics data on patients with Alzheimer's Disease
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:845839f3ef. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 113 | ||
| source / vignettes | OK | 144 | ||
| linux-release-x86_64 | OK | 122 | ||
| wasm-release | OK | 131 |
Exports:HAMMER.determinacyHAMMER.dimensionHAMMER.estimateHAMMER.score
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Efficient factor analytic learning for (very) high-dimensional data | HAMMER-package HAMMER |
| R data object with metabolomics data on patients with Alzheimer's Disease | ADmbolites ADMdata |
| Factor analytic metrics for (in)determinacy evaluation | HAMMER.determinacy |
| Selection of the latent dimension | HAMMER.dimension |
| Factor analytic parameter learning for high-dimensional data | HAMMER.estimate |
| Factor analytic representation learning for high-dimensional data | HAMMER.score |
