Man pages for patrickjdanaher/JGL-package
Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes
| crit | Calculate the critical value of the FGL objective funciton. |
| example.data | Toy two-class gene expression dataset. |
| gcrit | Calculate the critical value of the GGL objective funciton. |
| JGL | Joint Graphical Lasso |
| JGL-internal | Internal JGL functions |
| JGL-package | Joint Graphical Lasso |
| net.degree | List the degree of every node in all classes. |
| net.edges | List the edges in a network |
| net.hubs | Get degrees of most connected nodes. |
| net.neighbors | Get network neighbors of a node |
| screen.fgl | Quickly identify connected features in the solution to FGL |
| screen.ggl | Quickly identify connected features in the solution to GGL |
| subnetworks | Identify subnetwork membership |
