FSDAM v2020.11-18
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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.
Functions in FSDAM
| Name | Description | |
| fsdam | FS-DAM NLDR | |
| cc.505 | Select Biomarkers from the HVTN 505 Correlates Analysis | |
| hvtn505tier1 | HVTN 505 Immune Correlates Tier 1 Dataset | |
| No Results! | ||
Vignettes of FSDAM
| Name | ||
| FSDAM-vignette.pdf.asis | ||
| No Results! | ||
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Details
| LazyLoad | yes |
| LazyData | yes |
| VignetteBuilder | R.rsp |
| License | GPL (>= 2) |
| NeedsCompilation | no |
| Packaged | 2020-11-18 17:55:45 UTC; Youyi |
| Repository | CRAN |
| Date/Publication | 2020-11-20 09:50:08 UTC |
| imports | kyotil , reticulate (>= 1.10) |
| depends | R (>= 3.5.0) |
| suggests | R.rsp , RUnit |
| Contributors | Jun Xu |
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[](http://www.rdocumentation.org/packages/FSDAM)