R Observatory: Metrics for ergmclust version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ergmclust

1.0.1Package record

Exponential-Family Random Graph Models for Network Clustering

0packages depend

3.2Kdownloads / year

–test coverage

10/13flavors OK

Overview

About

Maintained by Lingzhou XueCRAN page ↗Website ↗

Implements clustering and estimates parameters in Exponential-Family Random Graph Models for static undirected and directed networks, developed in Vu et al. (2013) https://projecteuclid.org/euclid.aoas/1372338477.

Install

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

install.packages("ergmclust", 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-ergmclust

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-ergmclust

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-ergmclust

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

3WARNING10OK

Check messages

WARNINGwhether package can be installedr-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-release-macos-x86_64

r-oldrel-macos-arm64

Found the following significant warnings:
  ergmclust.cpp:214:16: warning: use of bitwise '&' with boolean operands [-Wbitwise-instead-of-logical]
See ‘/Volumes/Builds/packages/big-sur-arm64/results/4.5/ergmclust.Rcheck/00install.out’ for details.
* used C++ compiler: ‘Apple clang version 14.0.3 (clang-1403.0.22.14.1)’
* used SDK: ‘MacOSX11.3.1.sdk’

r-oldrel-macos-x86_64

Found the following significant warnings:
  ergmclust.cpp:214:16: warning: use of bitwise '&' with boolean operands [-Wbitwise-instead-of-logical]
See ‘/Volumes/Builds/packages/big-sur-x86_64/results/4.5/ergmclust.Rcheck/00install.out’ for details.
* used C++ compiler: ‘Apple clang version 14.0.3 (clang-1403.0.22.14.1)’
* used SDK: ‘NA’

r-release-macos-x86_64

Found the following significant warnings:
  ergmclust.cpp:214:16: warning: use of bitwise '&' with boolean operands [-Wbitwise-instead-of-logical]
See ‘/Volumes/Builds/packages/big-sur-x86_64/results/4.6/ergmclust.Rcheck/00install.out’ for details.
* used C++ compiler: ‘Apple clang version 14.0.3 (clang-1403.0.22.14.1)’
* used SDK: ‘MacOSX11.3.1.sdk’

CRAN check page ↗

Slowest check: 4.2 min · r-devel-windows-x86_64

Status changes

WARNING10 OK, 3 WARNINGNow
WARNING10 OK, 4 WARNING2026-04-22
ERROR9 OK, 4 WARNING, 1 ERROR2026-04-18
WARNING4 OK, 1 WARNING2026-03-17

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes

Help pages: 44 (38 internal)includes a package overview page
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 14%

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #10,953 · ~9/day · ~265/mo

Releases R versions

Daily download trend is not available in this view yet.

29130 days

96790 days

3.2K1 year

Compare downloads with other packages →

Also on334 r2u3 autocran

How downloads are counted

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing ergmclust adds 27 packages (14 with compiled code, 29 MB of source tarballs). Heaviest: ggplot2 6.0 MB, igraph 4.8 MB, lda 3.6 MB.

Depends (1)

R >= 2.10

Imports (7)

RcppMASSlda quadprog igraph viridis locfit

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

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 (4)

Lingzhou Xue

Author, Thesis advisor, Maintainer since 1.0.1 (2026)

Amal Agarwal

Author

Kevin H. Lee

Author

Anna Yinqi Zhang

Compiler

Previously maintained by Amal Agarwal (1.0.0).

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-03-16
1.0.1Latest
record
2026-03-16 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2022-12-05
issues were not corrected despite reminders
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.0.0
record
2021-02-01
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-02-01
Total releases: 2 / 5 yrs
License: GPL-2 OSI
Minimum R: ≥ 2.10
Bundled data: 1.0 KB / 2 files
Download size: 27 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ergmclust")

Format

Xue, L., Agarwal, A., Lee, K. H., & Zhang, A. Y. (2026). ergmclust: Exponential-Family Random Graph Models for Network Clustering (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ergmclust

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 ergmclust version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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