R Observatory: Metrics for ergmito version 0.3-2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ergmito

0.3-2

Exponential Random Graph Models for Small Networks

0packages depend

3.4Kdownloads / year

87.1%test coverage

13/13flavors OK

Overview

About

Maintained by George Vega YonCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Army Research Laboratory and the U.S. Army Research Office

Simulation and estimation of Exponential Random Graph Models (ERGMs) for small networks using exact statistics as shown in Vega Yon et al. (2020) DOI:10.1016/j.socnet.2020.07.005. As a difference from the 'ergm' package, 'ergmito' circumvents using Markov-Chain Maximum Likelihood Estimator (MC-MLE) and instead uses Maximum Likelihood Estimator (MLE) to fit ERGMs for small networks. As exhaustive enumeration is computationally feasible for small networks, this R package takes advantage of this and provides tools for calculating likelihood functions, and other relevant functions, directly, meaning that in many cases both estimation and simulation of ERGMs for small networks can be faster and more accurate than simulation-based algorithms.

Changes in 0.3-2

Returning to CRAN. Minor fixes correcting issues with documentation.

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("muriteams/ergmito")

Development version from muriteams/ergmito. Installs pak first if it is not already available.

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-ergmito

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-ergmito

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-ergmito

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: 7.1 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 0.3-2

README· In the repository, left out of the releaseVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 0.3-2Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 24
Examples that run: 100%21 run in a plain check
Exported functions with examples: 100%
Documented parameters: 84%
Return-value docs: 72%
Help pages citing references: 0%

Vignettes (2)

ERGM equations HTML
Extending ergmito HTML

How these are measured

Downloads

3.4K

CRAN downloads in the past year

Rank #10,059 · ~9/day · ~282/mo

Releases R versions

Daily download trend is not available in this view yet.

33530 days

97790 days

3.4K1 year

Compare downloads with other packages →

Also on395 r2u12 autocran

How downloads are counted

Repository

muriteams/ergmito ↗Organization: muriteams

9Stars

1Forks

8Open issues

0Open PRs

1Releases

265Commits

2Commit identities

ergmexponential-random-graph-modelsr-packagerstatsstatistics

265 commits · Last activity 2026-09-11

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 30
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2023-12-13 · 92026-07-07 · 9

How these are measured

PracticesBeta

14 development-tooling and community-health practices detected across 8 families in the upstream repository

Checks run against github.com/muriteams/ergmito on 2026-10-11.

Continuous integration (3)

GitHub ActionsR CMD check workflowTravis CI (config file)

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Code of conduct

Docs source (3)

README.qmdpkgdown

GitHub Pages site last deployed 2020-08-09

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 4 practices

Reproducibility and dev environment (3)

data-raw/MakefileDev Container

CRAN release process (1)

cran-comments.md

Research and citation (1)

CITATION.cff

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2025-09-12
Pull request: opened by its own account
Commits: 1 by its own account · at least 1 crediting it in the message
Claude Codefirst seen 2026-08-06
Pull request it wrote: opened by a project member
Commits: at least 3 crediting it in the message
Codexfirst seen 2026-08-15
Commits: at least 2 crediting it in the message

Models named in its commits

Claude Sonnet 52 commits · Sep 2026
Claude Opus 51 commit · Aug 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing ergmito adds 43 packages (28 with compiled code, 30 MB of source tarballs). Heaviest: stringi 11 MB, robustbase 2.2 MB, ergm 2.0 MB.

Depends (1)

R >= 3.3.0

Imports (10)

ergm networkMASSRcpp texregstatsparallelutilsmethodsgraphics

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (8)

covr sna lmtest fmcmc coda knitr rmarkdown tinytest

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 (3)

George Vega Yon

Maintainer since 0.2-0 (2020), Author

Army Research Laboratory and the U.S. Army Research Office

Funder

Grant Number W911NF-15-1-0577

Kayla de la Haye

Thesis advisor

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2025-12-20
0.3-2Latest
record
2025-12-20 · current release · diff ↗
archivedRemoved from CRAN
2025-11-28
issues were not corrected despite reminders
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
unarchivedReturned to CRAN
2023-06-14
0.3-1
record
2023-06-14 · diff ↗
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2022-11-21
check issues were not corrected in time
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.3-0
record
2020-08-10 · diff ↗ ·
removed 1 export
new_ergmito_ptr

added 1 export
benchmarkito
R
R 4.0.0 released · 2020-04-24
0.2-1
record
2020-02-12 · diff ↗
0.2-0
record
2020-02-01

Show 1 earlier eventHide 1 earlier event

R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-02-01
Total releases: 5 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.3.0
Bundled data: 0.5 KB / 1 file
Download size: 431 KB

Appears in task views

Network Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ergmito")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

The repository also keeps a CITATION.cff.

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 ergmito version 0.3-2 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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