btergm (1.9.7)

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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.

Maintainer: Philip Leifeld
Author(s): Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]

License: GPL (>= 2)

Uses: boot, coda, ergm, ggplot2, igraph, Matrix, network, ROCR, RSiena, sna, speedglm, statnet.common, xergm.common, testthat, fastglm
Reverse depends: egoTERGM, xergm
Reverse suggests: broom, texreg

Released 2 days ago.

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