gen_net: Generate True Partial Correlation Matrix

In GGMnonreg: Non-Regularized Gaussian Graphical Models

Description

Generate True Partial Correlation Matrix

Usage

gen_net(p = 20, edge_prob = 0.3, lb = 0.05, ub = 0.3)

Arguments

p	number of variables (nodes)
edge_prob	connectivity
lb	lower bound for the partial correlations
ub	upper bound for the partial correlations

Value

A list with the true structure, adjacency matrix, and correlation matrix.

Note

The function checks for a valid matrix (positive definite), but sometimes this will still fail. For example, for larger p, to have large partial correlations this requires a sparse GGM (accomplished by setting edge_prob to a small value).

Examples

true_net <- gen_net(p = 10)

GGMnonreg documentation built on April 8, 2021, 5:06 p.m.