Generate collection of bipartite networks

Usage

generate_bipartite_collection(
  nr,
  nc,
  pi,
  rho,
  alpha,
  M,
  model = "iid",
  distribution = "bernoulli",
  return_memberships = FALSE
)

nr: the number of row nodes or a vector specifying the number of row nodes for each of the M networks
nc: the number of column nodes or a vector specifying the number of column nodes for each of the M networks
pi: a vector of probability to belong to the row clusters
rho: a vector of probability to belong to the columns clusters
alpha: the matrix of connectivity between two clusters
M: the number of networks to generate
model: the colBiSBM model to use. Available: "iid", "pi", "rho", "pirho"
distribution: the emission distribution : "bernoulli" or "poisson"
return_memberships: a boolean which choose whether the function returns a list containing the memberships and the incidence matrices or just the incidence matrices. Defaults to FALSE, only the matrices are returned.

A list of M lists, which contains : $incidence_matrix, $row_blockmemberships, $col_blockmemberships

the model parameters if set to any other than iid will shuffle the provided pi and rho