Package: HAMMER 1.1

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:Carel F.W. Peeters [aut, cre, cph]

HAMMER_1.1.tar.gz
HAMMER_1.1.zip(r-4.7)HAMMER_1.1.zip(r-4.6)HAMMER_1.1.zip(r-4.5)
HAMMER_1.1.tgz(r-4.6-any)HAMMER_1.1.tgz(r-4.5-any)
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://cfwp.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ADmbolites - R data object with metabolomics data on patients with Alzheimer's Disease

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 7 scripts 356 downloads 4 exports 5 dependencies

Last updated from:845839f3ef. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK181
source / vignettesOK154
linux-release-x86_64OK180
macos-release-arm64OK152
macos-oldrel-arm64OK187
windows-develOK123
windows-releaseOK119
windows-oldrelOK104
wasm-releaseOK116

Exports:HAMMER.determinacyHAMMER.dimensionHAMMER.estimateHAMMER.score

Dependencies:latticeMatrixRcppRcppEigenRSpectra