generateBAPParameters: Randomly generate parameters (edge weights) for a given BAP

Description Usage Arguments Value

Description

We consider the following linear recursive model: X = B^t X + eps, where (B)_i,j is the edge weight of edge i->j and corresponds to the (i,j)-entry in the adjacency matrix of the graph, and eps has a N(0, Omega) distribution.

Usage

1

Arguments

bap

p-by-p adjacency matrix

Value

List containing: B - p-by-p matrix of directed edge weights Omega - p-by-p matrix of bidirected edge weights


cnowzohour/greedyBAPs documentation built on May 13, 2019, 1:36 a.m.