bigergm: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks (original) (raw)
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: | 1.2.5 |
|---|---|
| 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: | 2025-10-05 |
| 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 |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| In views: | NetworkAnalysis |
| CRAN checks: | bigergm results |
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