Package: btergm
Version: 1.9.7
Date: 2020-04-06
Title: Temporal Exponential Random Graph Models by Bootstrapped
        Pseudolikelihood
Authors@R: c(person(given = "Philip", family = "Leifeld", email = "philip.leifeld@essex.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.
URL: http://github.com/leifeld/btergm
Encoding: UTF-8
Imports: stats4, utils, methods, graphics, network (>= 1.13.0), sna (>=
        2.3.2), ergm (>= 3.10.0), parallel, Matrix (>= 1.2.2), boot (>=
        1.3.17), coda (>= 0.18.1), stats, ROCR (>= 1.0.7), speedglm (>=
        0.3.1), igraph (>= 0.7.1), RSiena (>= 1.0.12.232),
        statnet.common (>= 4.2.0)
Suggests: fastglm (>= 0.0.1), testthat
Depends: R (>= 3.5), xergm.common (>= 1.7.7), ggplot2 (>= 2.0.0)
License: GPL (>= 2)
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-07 10:54:27 UTC; philip
Author: Philip Leifeld [aut, cre],
  Skyler J. Cranmer [ctb],
  Bruce A. Desmarais [ctb]
Maintainer: Philip Leifeld <philip.leifeld@essex.ac.uk>
Repository: CRAN
Date/Publication: 2020-04-07 12:20:02 UTC
