rmm returns a count matrix and the cluster labels generated randomly with a Mixture of Multinomial model.
rmm(N, pi, mu, lambda)
A numeric value the size of the graph to generate
A numeric vector of length K with clusters proportions. Must sum up to 1.
A numeric matrix of dim k x D with the clusters patterns to generate, all elements in [0,1].
A numeric value which specify the expectation for the row sums.
A list with fields:
x: the count matrix as a
K: number of generated clusters
N: number of vertex
cl: vector of clusters labels
pi: clusters proportions
mu: connectivity matrix
lambda: expectation of row sums
It takes the sample size, cluster proportions and emission matrix, and as input and sample a graph accordingly together with the clusters labels.