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 |

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