FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.
| Version: | 2020.11-18 |
| Depends: | R (≥ 3.5.0) |
| Imports: | kyotil, reticulate (≥ 1.10) |
| Suggests: | R.rsp, RUnit |
| Published: | 2020-11-20 |
| 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: |
Fitting Threshold Regression Models Using chngpt |
| Package source: | FSDAM_2020.11-18.tar.gz |
| Windows binaries: | r-devel: FSDAM_2020.11-18.zip, r-release: FSDAM_2020.11-18.zip, r-oldrel: FSDAM_2020.11-18.zip |
| macOS binaries: | r-release: FSDAM_2020.11-18.tgz, r-oldrel: FSDAM_2020.11-18.tgz |
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