ScaleNetwork: ScaleNetwork

In lorenzha/hdcd: High-Dimensional Changepoint Detection

Description

Spawn a hub network covariance matrix

Usage

ScaleNetwork(p, preferential_power = 1, u = 0.1, v = 0.3, prec_mat = T,
  scaled = F)

Arguments

p	Positive integer.The desired number of dimensions.
preferential_power	Power coefficient alpha for weighting of degree number as alpha in prefential attachment mechanism.
u	Constant added to the diagonal elements of the precision matrix for controlling the magnitude of partial correlations.
v	Constant added to the off diagonal of the precision matrix for controlling the magnitude of partial correlations.
prec_mat	Should the precision matrix be returned? If false the covariance matrix will be returned (default).
scaled	If TRUE the created precision matrix will be inverted and scaled to a correlation matrix.

Value

A covariance or precision matrix.

Examples

ScaleNetwork(50)

lorenzha/hdcd documentation built on Sept. 2, 2018, 8:20 p.m.