Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks

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Documentation for package ‘bigergm’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

compute_multiplied_feature_matrices	Get a list of sparse feature adjacency matrix from a formula.
compute_yule_coef	Compute Yule's Phi-coefficient
draw_between_block_connection	Draw between-block connections.
draw_within_block_connection	Draw within-block connections
estimate_between_param	Estimate between-block parameters by logit
estimate_within_params	Estimate a within-block network model.
get_list_sparse_feature_adjmat	Get a list of sparse feature adjacency matrix from a formula
gof_bigergm	Goodness of fit statistics for HERGM
hergm	Hierarchical exponential-family random graph models (HERGMs) with local dependence
install_python_dependencies	Install optional Python dependencies
simulate_hergm	Simulate a network
simulate_hergm_within	Sample within cluster networks
toyNet	A toy network to play 'bigergm' with.