R: Multilevel Exponential-Family Random Graph Models

# Multilevel Exponential-Family Random Graph Models

## Documentation for package ‘mlergm’ version 0.8.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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