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FSDAM: Forward Stepwise Deep Autoencoder-Based Monotone NLDR

FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.

Version: 2024.7-30
Depends: R (≥ 3.5.0)
Imports: kyotil, reticulate (≥ 1.10)
Suggests: R.rsp, RUnit
Published: 2024-07-31
DOI: 10.32614/CRAN.package.FSDAM
Author: Youyi Fong [cre], Jun Xu [aut]
Maintainer: Youyi Fong <youyifong at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: FSDAM results

Documentation:

Reference manual: FSDAM.pdf
Vignettes: v (source)

Downloads:

Package source: FSDAM_2024.7-30.tar.gz
Windows binaries: r-devel: FSDAM_2024.7-30.zip, r-release: FSDAM_2024.7-30.zip, r-oldrel: FSDAM_2024.7-30.zip
macOS binaries: r-release (arm64): FSDAM_2024.7-30.tgz, r-oldrel (arm64): FSDAM_2024.7-30.tgz, r-release (x86_64): FSDAM_2024.7-30.tgz, r-oldrel (x86_64): FSDAM_2024.7-30.tgz
Old sources: FSDAM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FSDAM 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.