Package: bigergm
Title: Fit, Simulate, and Diagnose Hierarchical Exponential-Family
        Models for Big Networks
Version: 1.2.6
Authors@R: c(
    person(given = "Cornelius", family = "Fritz", role = c("aut", "cre"), email = "corneliusfritz2010@gmail.com"), 
    person(given = "Michael", family = "Schweinberger", role = c("aut"), email = "michael.schweinberger@psu.edu"),
    person(given = "Shota", family = "Komatsu", role = c("aut"), email = "shota.komatsu@sansan.com"),
    person(given = "Juan Nelson", family = "Martínez Dahbura", role = c("aut"), email = "martinez.dahbura@sansan.com"),
    person(given = "Takanori", family = "Nishida", role = c("aut"), email = "nishida@sansan.com"),
    person(given = "Angelo", family = "Mele", role = c("aut"), email = "angelo.mele@jhu.edu"))
Description: A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Depends: R (>= 3.5.0), ergm (>= 4.5.0), Rcpp
LinkingTo: Rcpp, RcppArmadillo (>= 0.10.5)
Imports: RcppArmadillo (>= 0.10.5), network (>= 1.16.0), Matrix,
        cachem, tidyr, statnet.common, methods, stringr, intergraph,
        igraph, parallel, magrittr, purrr, dplyr, glue, readr, foreach,
        rlang, memoise, reticulate, ergm.multi
Suggests: rmarkdown, knitr, testthat, sna, tibble
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-24 10:13:38 UTC; corneliusfritz
Author: Cornelius Fritz [aut, cre],
  Michael Schweinberger [aut],
  Shota Komatsu [aut],
  Juan Nelson Martínez Dahbura [aut],
  Takanori Nishida [aut],
  Angelo Mele [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-24 10:40:18 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2026-03-25 00:51:23 UTC; windows
Archs: x64
