Package: s2net 1.0.5
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.
Authors:
s2net_1.0.5.tar.gz
s2net_1.0.5.zip(r-4.5)s2net_1.0.5.zip(r-4.4)s2net_1.0.5.zip(r-4.3)
s2net_1.0.5.tgz(r-4.4-x86_64)s2net_1.0.5.tgz(r-4.4-arm64)s2net_1.0.5.tgz(r-4.3-x86_64)s2net_1.0.5.tgz(r-4.3-arm64)
s2net_1.0.5.tar.gz(r-4.5-noble)s2net_1.0.5.tar.gz(r-4.4-noble)
s2net_1.0.5.tgz(r-4.4-emscripten)s2net_1.0.5.tgz(r-4.3-emscripten)
s2net.pdf |s2net.html✨
s2net/json (API)
| # Install 's2net' in R: |
| install.packages('s2net', repos = c('https://jlaria.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jlaria/s2net/issues
- auto_mpg - Auto MPG Data Set
Last updated 9 months agofrom:35e87106eb. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-win-x86_64 | OK | Nov 02 2024 |
| R-4.5-linux-x86_64 | OK | Nov 02 2024 |
| R-4.4-win-x86_64 | OK | Nov 02 2024 |
| R-4.4-mac-x86_64 | OK | Nov 02 2024 |
| R-4.4-mac-aarch64 | OK | Nov 02 2024 |
| R-4.3-win-x86_64 | OK | Nov 02 2024 |
| R-4.3-mac-x86_64 | OK | Nov 02 2024 |
| R-4.3-mac-aarch64 | OK | Nov 02 2024 |
Exports:_rcpp_module_boot_Rcpp_s2net_exportpredictpredict_Rcpp_s2netpredict.s2netRprint.s2Dataprint.s2Fistas2Datas2Fistas2nets2netRs2Paramssimulate_extrasimulate_groups
Dependencies:MASSRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Generalized Semi-Supervised Elastic-Net | s2net |
| Auto MPG Data Set | auto_mpg |
| Predict method for 's2net' C++ class. | predict_Rcpp_s2net |
| S3 Methods for 's2netR' objects. | predict.s2netR |
| Print methods for S3 objects | print.s2Data print.s2Fista |
| Class 's2net' | predict,Rcpp_s2net-method Rcpp_s2net Rcpp_s2net-class _rcpp_module_boot_Rcpp_s2net_export |
| Data wrapper for 's2net'. | s2Data |
| Hyper-parameter wrapper for FISTA. | s2Fista |
| Trains a generalized extended linear joint trained model using semi-supervised data. | s2netR |
| Hyper-parameter wrapper for 's2net' | s2Params |
| Simulate extrapolated data | simulate_extra |
| Simulate data (two groups design) | simulate_groups |
