Package: GGMselect 0.1-12.7.1
Benjamin Auder
GGMselect: Gaussian Graphs Models Selection
Graph estimation in Gaussian Graphical Models, following the method developed by C. Giraud, S. Huet and N. Verzelen (2012) <doi:10.1515/1544-6115.1625>. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.
Authors:
GGMselect_0.1-12.7.1.tar.gz
GGMselect_0.1-12.7.1.tar.gz(r-4.5-noble)GGMselect_0.1-12.7.1.tar.gz(r-4.4-noble)
GGMselect_0.1-12.7.1.tgz(r-4.4-emscripten)GGMselect_0.1-12.7.1.tgz(r-4.3-emscripten)
GGMselect.pdf |GGMselect.html✨
GGMselect/json (API)
# Install 'GGMselect' in R: |
install.packages('GGMselect', 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 14 days agofrom:305308d83f. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 12 2024 |
Exports:convertGraphpenaltyselectFastselectMyFamselectQEsimulateGraph
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Gaussian Graphs Models selection | GGMselect-package GGMselect |
Convert graphs into adjacency matrices | convertGraph |
Penalty function | penalty |
Estimate a graph in a Gaussian Graphical Model: Fast procedure | selectFast |
Select a graph within a given family of graphs in Gaussian Graphical Modeling. | selectMyFam |
Estimate a graph in a Gaussian Graphical Model: Quasi Exhaustive search | selectQE |
Generate sparse Gaussian Graphical Models | simulateGraph |