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ergm.ego: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data

Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data.

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Version

Install

install.packages('ergm.ego')

Monthly Downloads

1,111

Version

0.6.1

License

GPL-3 + file LICENSE

Maintainer

Pavel N. Krivitsky

Last Published

November 19th, 2020

Functions in ergm.ego (0.6.1)

as.network.egodata

Construct an Empty ``Template'' Network Consistent with an Egocentric Sample
degreedist.egodata

Plotting the degree distribution of an egocentric dataset
mixingmatrix.egodata

Summarizing the mixing among groups in an egocentric dataset
ergm.ego

Inference for Exponential-Family Random Graph Models based on Egocentrically Sampled Data
control.simulate.ergm.ego

Control parameters for simulate.ergm.ego.
gof.ergm.ego

Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model fit to Egocentrically Sampled Data
ergm.ego-terms

ergm Terms Implemented for egodata
control.ergm.ego

Control parameters for ergm.ego.
as.egodata.network

Construct an Egocentric View of a Network
egodata

Convert to or Construct egodata Objects
summary_formula.egodata

Calculation of ERGM-style summary statistics for egodata objects.
simulate.ergm.ego

Simulate from a ergm.ego fit.
[.egodata

Subsetting egodata Objects
nodal_attributes-API

Helper functions for specifying nodal attribute levels
predict.ergm.ego

ERGM-based predicted tie probabilities for the pseudo-population network