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:Safiye Celik

MGL_1.1.tar.gz
MGL_1.1.zip(r-4.7-x86_64)MGL_1.1.zip(r-4.7-arm64)MGL_1.1.zip(r-4.6-x86_64)MGL_1.1.zip(r-4.6-arm64)
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✨
DESCRIPTION
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'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 239 downloads 85 mentions 1 exports 0 dependencies

Last updated from:680312b5f7. Checks:10 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	90
linux-devel-x86_64	OK	108
source / vignettes	OK	150
linux-release-arm64	OK	92
linux-release-x86_64	OK	117
windows-devel-arm64	OK	156
windows-devel-x86_64	OK	91
windows-release-arm64	OK	171
windows-release-x86_64	OK	62
wasm-release	OK	83