rmm function

Generate data using a Multinomial Mixture

rmm returns a count matrix and the cluster labels generated randomly with a Mixture of Multinomial model.

rmm(N, pi, mu, lambda)

Arguments

• N: A numeric value the size of the graph to generate
• pi: A numeric vector of length K with clusters proportions. Must sum up to 1.
• mu: A numeric matrix of dim k x D with the clusters patterns to generate, all elements in [0,1].
• lambda: A numeric value which specify the expectation for the row sums.

Returns

A list with fields:

• x: the count matrix as a dgCMatrix
• 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

Details

It takes the sample size, cluster proportions and emission matrix, and as input and sample a graph accordingly together with the clusters labels.