generateUniformBAP: Uniform BAP generation using MCMC

In cnowzohour/greedyBAPs: Greedy BAP Learning Using Penalised Maximum Likelihood Score

Description

Uniform BAP generation using MCMC

Usage

generateUniformBAP(p, N = 1, dag = FALSE, max.in.degree = Inf,
  names = paste0("V", 1:p), iter = 6 * p^2)

Arguments

p	Number of vertices
N	Number of graphs to generate
dag	Whether to generate DAGs or more general BAPs
max.in.degree	Maximal allowed in-degree
names	Names to give to the rows / columns of the adjacency matrix
iter	Number if MCMC iterations between samples

Value

List of N p-by-p adjacency matrices

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