[aut, cre],
Line H. Clemmensen [aut]Implements the generalized semi-supervised elastic-net. This method extends the supervised elastic-net problem, and thus it is a practical solution to the problem of feature selection in semi-supervised contexts. Its mathematical formulation is presented from a general perspective, covering a wide range of models. We focus on linear and logistic responses, but the implementation could be easily extended to other losses in generalized linear models. We develop a flexible and fast implementation, written in 'C++' using 'RcppArmadillo' and integrated into R via 'Rcpp' modules. See Culp, M. 2013 <doi:10.1080/10618600.2012.657139> for references on the Joint Trained Elastic-Net.
| Version: | 1.0.1 |
| Depends: | stats |
| Imports: | Rcpp, methods, MASS |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, glmnet, Metrics, testthat |
| Published: | 2020-01-16 |
| Author: | Juan C. Laria
[aut, cre],
Line H. Clemmensen [aut] |
| Maintainer: | Juan C. Laria <juank.laria at gmail.com> |
| BugReports: | https://github.com/jlaria/s2net/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/jlaria/s2net |
| NeedsCompilation: | yes |
| Citation: | s2net citation info |
| Materials: | README |
| CRAN checks: | s2net results |
| Reference manual: | s2net.pdf |
| Vignettes: |
The supervised 's2net' |
| Package source: | s2net_1.0.1.tar.gz |
| Windows binaries: | r-devel: s2net_1.0.1.zip, r-release: s2net_1.0.1.zip, r-oldrel: s2net_1.0.1.zip |
| macOS binaries: | r-release: s2net_1.0.1.tgz, r-oldrel: s2net_1.0.1.tgz |
| Old sources: | s2net archive |
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