R Observatory: Metrics for bigergm version 1.2.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bigergm

1.2.6Package record

Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks

0packages depend

4Kdownloads / year

70.6%test coverage

13/13flavors OK

Overview

About

Maintained by Cornelius FritzCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bigergm", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bigergm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bigergm

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bigergm

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 9.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.6

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 19
Examples that run: 100%9 run in a plain check
Exported functions with examples: 89%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 53%

Vignettes (1)

undirected-bigergm HTML

How these are measured

Downloads

4K

CRAN downloads in the past year

Rank #9,771 · ~11/day · ~334/mo

Releases R versions

Daily download trend is not available in this view yet.

40130 days

1K90 days

4K1 year

Compare downloads with other packages →

Also on475 r2u26 autocran

How downloads are counted

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Installing bigergm adds 64 packages (37 with compiled code, 39 MB of source tarballs). Heaviest: stringi 11 MB, igraph 4.8 MB, robustbase 2.2 MB.

Depends (3)

R >= 3.5.0ergm Rcpp

Imports (21)

RcppArmadillo networkMatrixcachem tidyr statnet.commonmethodsstringr intergraph igraphparallelmagrittr purrr dplyr glue readr foreach rlang memoise reticulate ergm.multi

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (5)

rmarkdown knitr testthat sna tibble

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (6)

Cornelius Fritz

Author, Maintainer since 1.1.0 (2024)

Shota Komatsu

Author

Juan Nelson Martínez Dahbura

Author

Angelo Mele

Author

Takanori Nishida

Author

Michael Schweinberger

Author

Releases (8)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.2.6Latest
record
2026-03-24 · current release · diff ↗
1.2.5
record
2025-10-05 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.2.4
record
2025-02-24 · diff ↗
1.2.3
record
2024-10-23 · diff ↗
1.2.2
record
2024-10-03 · diff ↗
1.2.1
record
2024-06-13 · diff ↗
1.2.0
record
2024-06-11 · diff ↗ ·
removed 12 exports
compute_multiplied_feature_matrices, compute_yule_coef, draw_between_block_connection, draw_within_block_connection, estimate_between_param, estimate_within_params, get_list_sparse_feature_adjmat, gof_bigergm, hergm, install_python_dependencies, simulate_hergm, simulate_hergm_within

added 9 exports
ari, bigergm, est_between, est_within, get_between_networks, get_within_networks, py_dep, simulate_bigergm, yule
R
R 4.4.0 released · 2024-04-24
1.1.0
record
2024-02-16
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-02-16
Total releases: 8 / 2 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 987 KB / 7 files
Download size: 1.7 MB

Appears in task views

Network Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bigergm")

Format

Fritz, C., Komatsu, S., Martínez Dahbura, J. N., Mele, A., Nishida, T., & Schweinberger, M. (2026). bigergm: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks (Version 1.2.6) [Computer software]. https://doi.org/10.32614/CRAN.package.bigergm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bigergm version 1.2.6 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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