s2net: The Generalized Semi-Supervised Elastic-Net
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: | 1.0.7 |
| Depends: | stats |
| Imports: | Rcpp, methods,MASS |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | knitr,rmarkdown,glmnet,Metrics,testthat |
| Published: | 2024-03-31 |
| DOI: | 10.32614/CRAN.package.s2net |
| 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 |
Documentation:
| Reference manual: | s2net.html ,s2net.pdf |
| Vignettes: | The supervised 's2net' (source,R code) |
Downloads:
| Package source: | s2net_1.0.7.tar.gz |
| Windows binaries: | r-devel:s2net_1.0.7.zip, r-release:s2net_1.0.7.zip, r-oldrel:s2net_1.0.7.zip |
| macOS binaries: | r-release (arm64):s2net_1.0.7.tgz, r-oldrel (arm64):s2net_1.0.7.tgz, r-release (x86_64):s2net_1.0.7.tgz, r-oldrel (x86_64):s2net_1.0.7.tgz |
| Old sources: | s2net archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=s2netto link to this page.