Package: FSDAM 2024.7-30

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.

Authors:Youyi Fong [cre], Jun Xu [aut]

FSDAM_2024.7-30.tar.gz
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FSDAM_2024.7-30.tgz(r-4.4-any)FSDAM_2024.7-30.tgz(r-4.3-any)
FSDAM_2024.7-30.tar.gz(r-4.5-noble)FSDAM_2024.7-30.tar.gz(r-4.4-noble)
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FSDAM.pdf |FSDAM.html✨
FSDAM/json (API)

# Install 'FSDAM' in R:

install.packages('FSDAM', repos = c('https://youyifong.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

cc.505 - Select Biomarkers from the HVTN 505 Correlates Analysis
hvtn505tier1 - HVTN 505 Immune Correlates Tier 1 Dataset

On CRAN:

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

2 exports 0.23 score 13 dependencies 3 scripts 437 downloads

Last updated 2 months agofrom:1b0d1eeccd. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 31 2024
R-4.5-win	OK	Aug 31 2024
R-4.5-linux	OK	Aug 31 2024
R-4.4-win	OK	Aug 31 2024
R-4.4-mac	OK	Aug 31 2024
R-4.3-win	OK	Aug 31 2024
R-4.3-mac	OK	Aug 31 2024