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 gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: bigergm results

Documentation:

Reference manual: bigergm.pdf
Vignettes: intro-bigergm

Downloads:

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

Linking:

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