Package: MGL 1.1
Safiye Celik
MGL: Module Graphical Lasso
An aggressive dimensionality reduction and network estimation technique for a high-dimensional Gaussian graphical model (GGM). Please refer to: Efficient Dimensionality Reduction for High-Dimensional Network Estimation, Safiye Celik, Benjamin A. Logsdon, Su-In Lee, Proceedings of The 31st International Conference on Machine Learning, 2014, p. 1953--1961.
Authors:
MGL_1.1.tar.gz
MGL_1.1.tar.gz(r-4.7-arm64)MGL_1.1.tar.gz(r-4.7-x86_64)MGL_1.1.tar.gz(r-4.6-arm64)MGL_1.1.tar.gz(r-4.6-x86_64)
MGL_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MGL/json (API)
| # Install 'MGL' in R: |
| install.packages('MGL', 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:680312b5f7. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 108 | ||
| linux-devel-x86_64 | OK | 95 | ||
| source / vignettes | OK | 127 | ||
| linux-release-arm64 | OK | 92 | ||
| linux-release-x86_64 | OK | 96 | ||
| wasm-release | OK | 89 |
Exports:MGL
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Module network inference | MGL |