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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.9.0 by Philip Leifeld, 6 months ago


Browse source code at https://github.com/cran/btergm

Authors: Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats4, utils, methods, graphics, statnet, statnet.common, network, sna, ergm, texreg, parallel, Matrix, boot, coda, stats, ROCR, speedglm, igraph, RSiena

Depends on xergm.common, ggplot2

Depended on by xergm.

Suggested by broom, texreg.

See at CRAN