sample_mlsbm: R/Rcpp function for sampling from a multilevel stochastic...

In carter-allen/mlsbm: Efficient Estimation of Bayesian SBMs & MLSBMs

R/Rcpp function for sampling from a multilevel stochastic block model

Description

This function allows you to sample a multilevel stochastic block model.

Usage

sample_mlsbm(z, P, L)

Arguments

z	An n x 1 vector of community labels for each node
P	A K x K symmetric matrix of community connectivity probabilities
L	The number of levels to sample

Value

A list of adjecency matrices – one for each level of the MLSBM

Examples

n = 100
K = 3
L = 2
pi = rep(1/K,K)
z = sample(1:K, size = n, replace = TRUE, prob = pi)
p_in = 0.50
p_out = 0.05
P = matrix(p_out, nrow = K, ncol = K)
diag(P) = p_in
AL = sample_mlsbm(z,P,L)

carter-allen/mlsbm documentation built on March 19, 2022, 8:26 a.m.