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

A toolbox to analyze and simulate large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently on large networks building on the 'lighthergm' package. Moreover, the package contains tools for simulating networks with local dependence to assess the estimates' goodness-of-fit.

Version: 1.1.0
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, tibble, glue, readr, foreach, rlang, doParallel, memoise, reticulate
LinkingTo: Rcpp, RcppArmadillo (≥ 0.10.5)
Suggests: rmarkdown, knitr, testthat, sna
Published: 2024-02-16
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>
License: GPL-3
NeedsCompilation: yes
CRAN checks: bigergm results


Reference manual: bigergm.pdf
Vignettes: intro-bigergm


Package source: bigergm_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bigergm_1.1.0.tgz, r-oldrel (arm64): bigergm_1.1.0.tgz, r-release (x86_64): bigergm_1.1.0.tgz, r-oldrel (x86_64): bigergm_1.1.0.tgz


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