Package: sglssnal 0.1.0
sglssnal: Sparse-Group Lasso via Semismooth Newton Augmented Lagrangian
Implements the sparse-group lasso method of Zhang et al. (2020) <doi:10.1007/s10107-018-1329-6>. Unlike many widely available methods based on first-order descent, this method uses second-order information to solve the dual optimization problem via a semismooth Newton method.
Authors:
sglssnal_0.1.0.tar.gz
sglssnal_0.1.0.zip(r-4.7-x86_64)sglssnal_0.1.0.zip(r-4.7-arm64)sglssnal_0.1.0.zip(r-4.6-x86_64)sglssnal_0.1.0.zip(r-4.6-arm64)sglssnal_0.1.0.zip(r-4.5-x86_64)
sglssnal_0.1.0.tgz(r-4.6-x86_64)sglssnal_0.1.0.tgz(r-4.6-arm64)sglssnal_0.1.0.tgz(r-4.5-x86_64)sglssnal_0.1.0.tgz(r-4.5-arm64)
sglssnal_0.1.0.tar.gz(r-4.7-arm64)sglssnal_0.1.0.tar.gz(r-4.7-x86_64)sglssnal_0.1.0.tar.gz(r-4.6-arm64)sglssnal_0.1.0.tar.gz(r-4.6-x86_64)
sglssnal_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sglssnal/json (API)
| # Install 'sglssnal' in R: |
| install.packages('sglssnal', repos = c('https://roobnloo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/roobnloo/sglssnal/issues
- riboflavin - Riboflavin production and gene expression, grouped by GO Slim term
Last updated from:3520f5fa9a. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 127 | ||
| linux-devel-x86_64 | OK | 154 | ||
| source / vignettes | OK | 302 | ||
| linux-release-arm64 | OK | 128 | ||
| linux-release-x86_64 | OK | 157 | ||
| macos-release-arm64 | OK | 207 | ||
| macos-release-x86_64 | OK | 348 | ||
| macos-oldrel-arm64 | OK | 202 | ||
| macos-oldrel-x86_64 | OK | 302 | ||
| windows-devel-arm64 | OK | 446 | ||
| windows-devel-x86_64 | OK | 197 | ||
| windows-release-arm64 | OK | 365 | ||
| windows-release-x86_64 | OK | 165 | ||
| windows-oldrel-x86_64 | OK | 141 | ||
| wasm-release | OK | 108 |
Exports:cv.sglssnalsglssnal
Dependencies:latticeMatrixRcppRcppArmadilloRcppEigenRSpectra
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract estimated coefficients from a 'sglssnal' object | coef.sglssnal |
| Cross-validation for sglssnal | cv.sglssnal |
| Predict method for 'sglssnal' objects | predict.sglssnal |
| Riboflavin production and gene expression, grouped by GO Slim term | riboflavin |
| Run Sparse-Group Lasso via Semismooth Newton Augmented Lagrangian | sglssnal |