classes                 Polish school classes data set.
compute_CI              Multilevel Exponential-Family Random Graph
                        Models
eta                     Extracts the natural parameters from an
                        estimated 'mlergm' model. When the model is a
                        canonical exponential family, this is the the
                        identity mapping from the parameter vector.
                        However, when the model is a curved exponential
                        family this returns the resulting canonical
                        parameters of the curved exponential family.
extract_block           Multilevel Network
gof.mlergm              Evaluate the goodness-of-fit of an estimated
                        model.
is.gof_mlergm           Check if object is of class 'gof_mlergm'
is.inCHv3.9             Determine whether a vector is in the closure of
                        the convex hull of some sample of vectors
is.mlergm               Check if the object is of class 'mlergm'
is.mlnet                Check if object is of class 'mlnet'
plot.gof_mlergm         Plot goodness-of-fit results
print.gof_mlergm        Print summary of a 'gof_mlergm' object.
set_options             Set and adjust options and settings.
simulate_mlnet          Simulate a multilevel network
