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.


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install.packages("btergm")

1.9.0 by Philip Leifeld, 6 months ago


http://github.com/leifeld/btergm


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