btergm
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
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. The methods are described in Leifeld, Cranmer and Desmarais (2018), JStatSoft <doi:10.18637/jss.v083.i06>.
- Version1.10.12
- R version≥ 3.5
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/31/2024
Team
Philip Leifeld
Skyler J. Cranmer
Show author detailsRolesContributorBruce A. Desmarais
Show author detailsRolesContributor
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- Imports9 packages
- Suggests6 packages
- Reverse Imports2 packages
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