btergm (version 1.9.13)

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

Description

Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.

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install.packages('btergm')

Monthly Downloads

2,428

Version

1.9.13

License

GPL (>= 2)

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Repository

https://github.com/leifeld/btergm

Maintainer

Philip Leifeld

Last Published

October 26th, 2020

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

Description

Copy Link

Version

Install

Monthly Downloads

Version

License

Issues

Pull Requests

Stars

Forks

Repository

Maintainer

Last Published

Functions in btergm (1.9.13)