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tergm: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models

An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis.

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Version

Install

install.packages('tergm')

Monthly Downloads

2,361

Version

3.7.0

License

GPL-3 + file LICENSE

Maintainer

Pavel N. Krivitsky

Last Published

October 15th, 2020

Functions in tergm (3.7.0)

control.tergm.godfather

Control parameters for tergm.godfather().
impute.network.list

Impute missing dyads in a series of networks
mcmc.diagnostics.stergm

Conduct MCMC diagnostics on an ergm or stergm fit
gof.stergm

Goodness-of-fit methods for STERGM CMLE and CMPLE fits
ergm-terms

Temporally-Sensitive Terms used in Exponential Family Random Graph Models
control.stergm

Auxiliary for Controlling Separable Temporal ERGM Fitting
logLik.stergm

A logLik method for stergm.
ergm-proposals

Metropolis-Hastings Proposal Methods for TERGM MCMC
control.simulate.network

Auxiliary for Controlling Separable Temporal ERGM Simulation
ergm-constraints

Formation and Dissolution Constraints for Exponential Family Random Graph Models
tergm-package

Fit, Simulate and Diagnose Dynamic Network Models derived from Exponential-Family Random Graph Models
tergm.godfather

A function to apply a given series of changes to a network.
summary_formula.networkDynamic

Calculation of networkDynamic statistics.
stergm_MCMC_sample

Collects a sample of networks and returns the formation and dissolution statistics of each sample
simulate.stergm

Draw from the distribution of an Separable Temporal Exponential Family Random Graph Model
coef.stergm

Separable Temporal Exponential Family Random Graph Models
stergm-internal

Internal tergm Objects
tergm-deprecated

Functions that will no longer be supported in future releases of the package