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
FSDAM_2024.7-30.zip(r-4.7)FSDAM_2024.7-30.zip(r-4.6)FSDAM_2024.7-30.zip(r-4.5)
FSDAM_2024.7-30.tgz(r-4.6-any)FSDAM_2024.7-30.tgz(r-4.5-any)
FSDAM_2024.7-30.tar.gz(r-4.7-any)FSDAM_2024.7-30.tar.gz(r-4.6-any)
FSDAM_2024.7-30.tgz(r-4.6-emscripten)
|manual.html✨
DESCRIPTION
card.svg |card.png
FSDAM/json (API)

# Install 'FSDAM' in R:

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

Bug tracker:https://github.com/youyifong/fsdam/issues

Datasets:

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

On CRAN:

3.70 score 5 scripts 238 downloads 2 exports 13 dependencies

Last updated from:16ef6dddbb. Checks:8 OK, 1 ERROR. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	135
source / vignettes	ERROR	165
linux-release-x86_64	OK	160
macos-release-arm64	OK	143
macos-oldrel-arm64	OK	88
windows-devel	OK	88
windows-release	OK	97
windows-oldrel	OK	100
wasm-release	OK	168