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: 2024.1-30
Depends: R (≥ 3.5.0)
Imports: kyotil, reticulate (≥ 1.10)
Suggests: R.rsp, RUnit
Published: 2024-01-29
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


Reference manual: FSDAM.pdf
Vignettes: v


Package source: FSDAM_2024.1-30.tar.gz
Windows binaries: r-devel: FSDAM_2024.1-30.zip, r-release: FSDAM_2024.1-30.zip, r-oldrel: FSDAM_2024.1-30.zip
macOS binaries: r-release (arm64): FSDAM_2024.1-30.tgz, r-oldrel (arm64): FSDAM_2024.1-30.tgz, r-release (x86_64): FSDAM_2024.1-30.tgz, r-oldrel (x86_64): FSDAM_2024.1-30.tgz
Old sources: FSDAM archive


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