Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Convert (deprecated) egodata Objects to egor Objects
Construct an Egocentric View of a network Object
Control parameters for ergm.ego().
Control parameters for simulate.ergm.ego().
Plotting the degree distribution of an egocentric dataset
Helper functions of EgoStats. Some may be documented and exported in t...
ergm() Terms Implemented for egor
Inference for Exponential-Family Random Graph Models based on Egocentr...
Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Gra...
Summarizing the mixing among groups in an egocentric dataset
Helper functions for specifying nodal attribute levels
ERGM-based predicted tie probabilities for the pseudo-population netwo...
Draw random egocentric subsamples
Simulate from a ergm.ego() fit.
Statnet Control
Calculation of ERGM-style summary statistics for egorobjects.
Construct an Empty ``Template'' Network Consistent with an Egocentric ...
A scalar multiplication method for svystat
Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data. See Krivitsky and Morris (2017) <doi:10.1214/16-AOAS1010>.