bigergm: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks

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.

Version: 1.2.0
Depends: R (≥ 3.5.0), ergm (≥ 4.5.0), Rcpp
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
LinkingTo: Rcpp, RcppArmadillo (≥ 0.10.5)
Suggests: rmarkdown, knitr, testthat, sna, tibble
Published: 2024-06-11
Author: Shota Komatsu [aut], Juan Nelson Martínez Dahbura [aut], Takanori Nishida [aut], Angelo Mele [aut], Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010 at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: bigergm results

Documentation:

Reference manual: bigergm.pdf
Vignettes: undirected-bigergm

Downloads:

Package source: bigergm_1.2.0.tar.gz
Windows binaries: r-devel: bigergm_1.1.0.zip, r-release: bigergm_1.1.0.zip, r-oldrel: bigergm_1.2.0.zip
macOS binaries: r-release (arm64): bigergm_1.2.0.tgz, r-oldrel (arm64): bigergm_1.2.0.tgz, r-release (x86_64): bigergm_1.2.0.tgz, r-oldrel (x86_64): bigergm_1.2.0.tgz
Old sources: bigergm archive

Linking:

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