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.


Reference manual

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install.packages("bigergm")

1.2.6 by Cornelius Fritz, 7 months ago


Browse source code at https://github.com/cran/bigergm


Authors: Cornelius Fritz [aut, cre] , Michael Schweinberger [aut] , Shota Komatsu [aut] , Juan Nelson Martínez Dahbura [aut] , Takanori Nishida [aut] , Angelo Mele [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports RcppArmadillo, network, Matrix, cachem, tidyr, statnet.common, methods, stringr, intergraph, igraph, parallel, magrittr, purrr, dplyr, glue, readr, foreach, rlang, memoise, reticulate, ergm.multi

Depends on ergm, Rcpp

Suggests rmarkdown, knitr, testthat, sna, tibble

Linking to Rcpp, RcppArmadillo


See at CRAN