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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.

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: stats, RSpectra
Published: 2026-06-08
DOI: 10.32614/CRAN.package.HAMMER
Author: Carel F.W. Peeters ORCID iD [aut, cre, cph]
Maintainer: Carel F.W. Peeters <carel.peeters at wur.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: HAMMER results

Documentation:

Reference manual: HAMMER.html , HAMMER.pdf

Downloads:

Package source: HAMMER_1.0.tar.gz
Windows binaries: r-devel: HAMMER_1.0.zip, r-release: HAMMER_1.0.zip, r-oldrel: HAMMER_1.0.zip
macOS binaries: r-release (arm64): HAMMER_1.0.tgz, r-oldrel (arm64): HAMMER_1.0.tgz, r-release (x86_64): HAMMER_1.0.tgz, r-oldrel (x86_64): HAMMER_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=HAMMER to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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