inf.mat

Sig=solve(SigInv) true covariance matrix under H0

include.mean

Compute Information Matrix of Gaussian Graphical Model

internal

Package nethet is an implementation of statistical solid
    methodology enabling the analysis of network heterogeneity from
    high-dimensional data. It combines several implementations of recent
    statistical innovations useful for estimation and comparison of networks in
    a heterogeneous, high-dimensional setting. In particular, we provide code
    for formal two-sample testing in Gaussian graphical models (differential
    network and GGM-GSA; Stadler and Mukherjee, 2013, 2014) and make a novel
    network-based clustering algorithm available (mixed graphical lasso,
    Stadler and Mukherjee, 2013).

inf.mat: Information Matrix of Gaussian Graphical Model

Description

Usage

Arguments

Value

Details