Package: HAMMER
Title: High-Dimensional Factor-Analytic Representation Modeling and
        Metrics
Version: 1.1
Maintainer: Carel F.W. Peeters <carel.peeters@wur.nl>
Authors@R: 
        person(given = c("Carel", "F.W."),
           family = "Peeters",
           email = "carel.peeters@wur.nl",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0001-5766-9969"))
Description: 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>.
Depends: R (>= 3.5.0)
Imports: stats, RSpectra
LazyData: true
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-07-02 21:13:32 UTC; root
Author: Carel F.W. Peeters [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0001-5766-9969>)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-01 21:10:08 UTC
RemoteUrl: https://github.com/cran/HAMMER
RemoteRef: HEAD
RemoteSha: 845839f3ef5913dbd8bafff49fa719f535cf0659