EstimateGroupNetwork
Perform the Joint Graphical Lasso and Selects Tuning Parameters
Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.1 |
rolling linux/jammy R-4.5 | EstimateGroupNetwork_0.3.1.tar.gz |
99.8 KiB |
0.3.1 |
rolling linux/noble R-4.5 | EstimateGroupNetwork_0.3.1.tar.gz |
99.7 KiB |
0.3.1 |
rolling source/ R- | EstimateGroupNetwork_0.3.1.tar.gz |
23.6 KiB |
0.3.1 |
latest linux/jammy R-4.5 | EstimateGroupNetwork_0.3.1.tar.gz |
99.8 KiB |
0.3.1 |
latest linux/noble R-4.5 | EstimateGroupNetwork_0.3.1.tar.gz |
99.7 KiB |
0.3.1 |
latest source/ R- | EstimateGroupNetwork_0.3.1.tar.gz |
23.6 KiB |
0.3.1 |
2026-04-26 source/ R- | EstimateGroupNetwork_0.3.1.tar.gz |
23.6 KiB |
0.3.1 |
2026-04-23 source/ R- | EstimateGroupNetwork_0.3.1.tar.gz |
23.6 KiB |
0.3.1 |
2026-04-09 windows/windows R-4.5 | EstimateGroupNetwork_0.3.1.zip |
103.3 KiB |
0.3.1 |
2025-04-20 source/ R- | EstimateGroupNetwork_0.3.1.tar.gz |
23.6 KiB |