rlbm function

Generate a data matrix using a Latent Block Model

rlbm returns the adjacency matrix and the cluster labels generated randomly with a Latent Block Model.

rlbm(Nr, Nc, pir, pic, mu)

Arguments

• Nr: desired Number of rows
• Nc: desired Number of column
• pir: A numeric vector of length Kr with rows clusters proportions (will be normalized to sum up to 1).
• pic: A numeric vector of length Kc with columns clusters proportions (will be normalized to sum up to 1).
• mu: A numeric matrix of dim Kr x Kc with the connectivity pattern to generate. elements in [0,1].

Returns

A list with fields:

• x: the generated data matrix as a dgCMatrix
• clr: vector of row clusters labels
• clc: vector of column clusters labels
• Kr: number of generated row clusters
• Kc: number of generated column clusters
• Nr: number of rows
• Nc: number of column
• pir: row clusters proportions
• pic: column clusters proportions
• mu: connectivity matrix

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.

Examples

simu <- rlbm(500, 1000, rep(1 / 5, 5), rep(1 / 10, 10), matrix(runif(50), 5, 10))