Multilevel Exponential-Family Random Graph Models

Documentation for package ‘mlergm’ version 0.8.1

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'
mlergm	Multilevel Exponential-Family Random Graph Models
mlnet	Multilevel Network
plot.gof_mlergm	Plot goodness-of-fit results
plot.mlnet	Multilevel Network
print.gof_mlergm	Print summary of a 'gof_mlergm' object.
print.mlergm	Multilevel Exponential-Family Random Graph Models
set_options	Set and adjust options and settings.
simulate_mlnet	Simulate a multilevel network
summary.mlergm	Multilevel Exponential-Family Random Graph Models
vcov.mlergm	Multilevel Exponential-Family Random Graph Models