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 |
Reference manual: | s2net.pdf |
Vignettes: |
The supervised 's2net' |
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 |
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