| rmultsbm {greed} | R Documentation |
Generate a graph adjacency matrix using a Stochastic Block Model
Description
rmultsbm returns the multi-graph adjacency matrix and the cluster labels generated randomly with a Multinomial Stochastic Block Model.
Usage
rmultsbm(N, pi, mu, lambda)
Arguments
N |
The size of the graph to generate |
pi |
A numeric vector of length K with clusters proportions (will be normalized to sum up to 1). |
mu |
A numeric array of dim K x K x M with the connectivity pattern to generate. elements in [0,1]. |
lambda |
A double with the Poisson intensity to generate the total counts |
Details
This function takes the desired graph size, cluster proportions and connectivity matrix as input and sample a graph accordingly together with the clusters labels.
Value
A list with fields:
x: the multi-graph adjacency matrix as an
arrayK: number of generated clusters
N: number of vertex
cl: vector of clusters labels
pi: clusters proportions
mu: connectivity matrix
lambda:
Examples
simu <- rsbm(100, rep(1 / 5, 5), diag(rep(0.1, 5)) + 0.001)