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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.7 |
rolling linux/jammy R-4.5 | s2net_1.0.7.tar.gz |
319.4 KiB |
1.0.7 |
rolling linux/noble R-4.5 | s2net_1.0.7.tar.gz |
323.9 KiB |
1.0.7 |
rolling source/ R- | s2net_1.0.7.tar.gz |
178.9 KiB |
1.0.7 |
latest linux/jammy R-4.5 | s2net_1.0.7.tar.gz |
319.4 KiB |
1.0.7 |
latest linux/noble R-4.5 | s2net_1.0.7.tar.gz |
323.9 KiB |
1.0.7 |
latest source/ R- | s2net_1.0.7.tar.gz |
178.9 KiB |
1.0.7 |
2026-04-26 source/ R- | s2net_1.0.7.tar.gz |
178.9 KiB |
1.0.7 |
2026-04-23 source/ R- | s2net_1.0.7.tar.gz |
178.9 KiB |
1.0.7 |
2026-04-09 windows/windows R-4.5 | s2net_1.0.7.zip |
729.9 KiB |
1.0.7 |
2025-04-20 source/ R- | s2net_1.0.7.tar.gz |
178.9 KiB |