rlca function

Generate data from lca model

rlca returns a data.frame with factor sampled from an lca model

rlca(N, pi, theta)

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).
• theta: A list of size V

Returns

A list with fields:

• x: the multi-graph adjacency matrix as an array
• K: number of generated clusters
• N: number of vertex
• cl: vector of clusters labels
• pi: clusters proportions
• theta:

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

theta <- list(
  matrix(c(0.1, 0.9, 0.9, 0.1, 0.5, 0.5, 0.3, 0.7), ncol = 2, byrow = TRUE),
  matrix(c(0.5, 0.5, 0.3, 0.7, 0.05, 0.95, 0.3, 0.7), ncol = 2, byrow = TRUE),
  matrix(c(0.5, 0.5, 0.9, 0.1, 0.5, 0.5, 0.1, 0.9), ncol = 2, byrow = TRUE)
)
lca.data <- rlca(100, rep(1 / 4, 4), theta)