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ergm.ego (version 1.1.2)

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

Description

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) .

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Version

Install

install.packages('ergm.ego')

Monthly Downloads

554

Version

1.1.2

License

GPL-3 + file LICENSE

Maintainer

Pavel N. Krivitsky

Last Published

February 12th, 2025

Functions in ergm.ego (1.1.2)

*.svystat

A scalar multiplication method for svystat
summary_formula.egor

Calculation of ERGM-style summary statistics for egor objects.
template_network

Construct an Empty ``Template'' Network Consistent with an Egocentric Sample
sample

Draw random egocentric subsamples
predict.ergm.ego

ERGM-based predicted tie probabilities for the pseudo-population network
simulate.ergm.ego

Simulate from a ergm.ego() fit.
nodal_attributes-API

Helper functions for specifying nodal attribute levels
control.simulate.ergm.ego

Control parameters for simulate.ergm.ego().
ergm.ego-terms

ergm() Terms Implemented for egor
degreedist.egor

Plotting the degree distribution of an egocentric dataset
fmhfit

Fitted ergm.ego model object
mixingmatrix.egor

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

Inference for Exponential-Family Random Graph Models based on Egocentrically Sampled Data
EgoStat-internal

Helper functions of EgoStats. Some may be documented and exported in the future.
control.ergm.ego

Control parameters for ergm.ego().
snctrl

Statnet Control
as.egor.egodata

Convert (deprecated) egodata Objects to egor Objects
gof.ergm.ego

Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model fit to Egocentrically Sampled Data
as.egor.network

Construct an Egocentric View of a network Object