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CRAN: Package FSDAM

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.html , 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:

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