network.estimate: High-Dimensional Network Estimation

In sen-zhao/DCA: Differential Connectivity Analysis: Testing Differences in Structures of High-Dimensional Networks

Description

Estimate multiple conditional dependency networks and their intersections.

Usage

  network.estimate(X, lambda = NULL, method = "MB", rule = "OR")

Arguments

X	a list of standardized design matrices with the same number of columns.
method	method for network estimation: neighborhood selection ("MB").
rule	"AND" or "OR" rule for the estimation.
lambda	a vector of tuning parameters.

Details

Estimate multiple conditional dependency networks and their intersections

Value

An R ‘list’ with elements:

est	a list of estimated adjacency matrices.
common	adjacency matrix of the common network.

Author(s)

Sen Zhao

sen-zhao/DCA documentation built on May 7, 2019, 7:17 p.m.