This package is the R implementation of the Autoencoder-based Residual Deep Network that is based on this paper (https://arxiv.org/abs/1812.11262).
| Version: | 1.0 |
| Depends: | R (≥ 3.1) |
| Imports: | Rcpp (≥ 1.0.0), keras, rstack, dplyr, magrittr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2019-03-16 |
| Author: | Lianfa Li |
| Maintainer: | Lianfa Li <lspatial at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| CRAN checks: | resautonet results |
| Reference manual: | resautonet.pdf |
| Package source: | resautonet_1.0.tar.gz |
| Windows binaries: | r-devel: resautonet_1.0.zip, r-release: resautonet_1.0.zip, r-oldrel: resautonet_1.0.zip |
| OS X binaries: | r-release: resautonet_1.0.tgz, r-oldrel: resautonet_1.0.tgz |
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