In simulation settings where the true mean matrix is known and a set of estimated communities are provided, this function returns the true target of inference.
Conduct inference using `Ate` for the selected target of inference: a linear combination of connectivity parameters based upon estimated communities. Note that communities should be estimated using the `Atr` matrix produced from the `split_network()` function prior to using this function.
Split an adjacency matrix into a train and test adjacency matrix using either data thinning (Poisson or Gaussian edges) or data fission (Bernoulli edges.)