Package: TrioSGL 1.1.0
Timo Stöcker
TrioSGL: Trio Model with a Combination of Lasso and Group Lasso Regularization
Fit a trio model via penalized maximum likelihood. The model is fit for a path of values of the penalty parameter. This package is based on Noah Simon, et al. (2011) <doi:10.1080/10618600.2012.681250>.
Authors:
TrioSGL_1.1.0.tar.gz
TrioSGL_1.1.0.tar.gz(r-4.7-arm64)TrioSGL_1.1.0.tar.gz(r-4.7-x86_64)TrioSGL_1.1.0.tar.gz(r-4.6-arm64)TrioSGL_1.1.0.tar.gz(r-4.6-x86_64)
TrioSGL_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TrioSGL/json (API)
| # Install 'TrioSGL' in R: |
| install.packages('TrioSGL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ce75c048ba. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 102 | ||
| linux-devel-x86_64 | OK | 85 | ||
| source / vignettes | OK | 160 | ||
| linux-release-arm64 | OK | 111 | ||
| linux-release-x86_64 | OK | 96 | ||
| wasm-release | OK | 86 |
Exports:TrioSGL
Dependencies:
