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 MartÃnez 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 |