Package: btergm Version: 1.11.1 Date: 2025-03-19 Title: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood Authors@R: c(person(given = "Philip", family = "Leifeld", email = "philip.leifeld@manchester.ac.uk", role = c("aut", "cre")), person(given = c("Skyler", "J."), family = "Cranmer", email = "cranmer.12@osu.edu", role = "ctb"), person(given = c("Bruce", "A."), family = "Desmarais", email = "bdesmarais@psu.edu", role = "ctb")) 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. The methods are described in Leifeld, Cranmer and Desmarais (2018), JStatSoft . URL: https://github.com/leifeld/btergm Encoding: UTF-8 Imports: stats, utils, methods, graphics, network (>= 1.19.0), sna (>= 2.8), ergm (>= 4.8.1), parallel, Matrix (>= 1.3.2), boot (>= 1.3.17), coda (>= 0.18.1), ROCR (>= 1.0.7), igraph (>= 2.1.2), statnet.common (>= 4.11.0) Suggests: fastglm (>= 0.0.1), speedglm (>= 0.3.1), testthat, Bergm (>= 5.0.7), RSiena (>= 1.0.12.232), ggplot2 (>= 2.0.0) Depends: R (>= 3.5) License: GPL (>= 2) RoxygenNote: 7.3.2 Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev Repository: https://leifeld-lab.r-universe.dev Date/Publication: 2025-03-19 00:44:54 UTC RemoteUrl: https://github.com/leifeld-lab/btergm RemoteRef: HEAD RemoteSha: c97fd6131e49df5f10ac03329854b07682d4f266 NeedsCompilation: no Packaged: 2026-07-09 08:07:18 UTC; root Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb] Maintainer: Philip Leifeld