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.pdf
Vignettes:	The supervised 's2net'

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 form https://CRAN.R-project.org/package=s2net to link to this page.