The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 1.2.3
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: 2024-10-23
DOI: 10.32614/CRAN.package.bigergm
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 at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: bigergm results

Documentation:

Reference manual: bigergm.pdf
Vignettes: undirected-bigergm (source, R code)

Downloads:

Package source: bigergm_1.2.3.tar.gz
Windows binaries: r-devel: bigergm_1.2.3.zip, r-release: bigergm_1.2.3.zip, r-oldrel: bigergm_1.2.3.zip
macOS binaries: r-release (arm64): bigergm_1.2.3.tgz, r-oldrel (arm64): bigergm_1.2.3.tgz, r-release (x86_64): bigergm_1.2.3.tgz, r-oldrel (x86_64): bigergm_1.2.3.tgz
Old sources: bigergm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bigergm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.