Hierarchical Exponential-Family Random Graph Models with Local
Dependence
Michael Schweinberger <michael.schweinberger@rice.edu>, Mark S. Handcock <handcock@stat.ucla.edu>
The R package 'hergm' implements Hierarchical Exponential-Family Random Graph Models (HERGMs), which can be used to model a wide range of relational data (networks).  'hergm' implements both simulation and Bayesian inference.

Michael Schweinberger <michael.schweinberger@rice.edu>, Mark S. Handcock <handcock@ucla.edu>

Michael Schweinberger <michael.schweinberger@stat.psu.edu>, Mark S. Handcock <handcock@stat.ucla.edu>

Michael Schweinberger <michael.schweinberger@rice.edu> [aut, cre], Mark S. Handcock <handcock@ucla.edu> [ctb], Pamela Luna <pamela.luna@rice.edu> [ctb]
Estimate and simulate hierarchical exponential-family random graph models with local dependence.
In some past versions of hergm, lack of memory deallocation
at the C level meant that systems could run out of memory when
conducting >24-hour runs involving networks with >100 nodes.
The memory deallocation issues have been fixed in hergm version
2.0-0.

ergm, latentnet, mcgibbsit, network, sna

Hierarchical exponential-family random graph models with local dependence.

Michael Schweinberger <michael.schweinberger@rice.edu> [aut, cre], Mark S. Handcock <handcock@ucla.edu> [aut], Sergii Babkin <babkin.sergii@gmail.com> [aut], Jonathan Stewart <jonathan.stewart@rice.edu> [aut], Duy Vu <duy.vu@unimelb.edu.au> [aut], Pamela Luna <pamela.luna@rice.edu> [ctb]
methods, mlergm, Rcpp (>= 0.12.7), Matrix, igraph, intergraph,
parallel

methods, mlergm, Rcpp (>= 0.12.7), Matrix, igraph, intergraph,
parallel, stringr

c(person("Michael", "Schweinberger", email = "michael.schweinberger@psu.edu", role = c("cre", "aut")),
person("Mark S.", "Handcock", role=c("aut"), email="handcock@stat.ucla.edu"),
person("Sergii", "Babkin", email = "babkin.sergii@gmail.com", role = c("aut")),
person("Jonathan R.", "Stewart", email = "jrstewart@fsu.edu", role = c("aut")),
person("Duy Q.", "Vu", email = "duy.vu@unimelb.edu.au", role = c("aut")),
person("Pamela", "Luna", email = "pamela.luna@rice.edu", role = c("ctb"))
)
Michael Schweinberger [cre, aut],
Mark S. Handcock [aut],
Sergii Babkin [aut],
Jonathan R. Stewart [aut],
Duy Q. Vu [aut],
Pamela Luna [ctb]
Hierarchical exponential-family random graph models with local dependence. See Schweinberger and Luna (2018) <doi:10.18637/jss.v085.i01>.