R Observatory: Metrics for mlergm version 0.8.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlergm

0.8.1Package record

Multilevel Exponential-Family Random Graph Models

0packages depend

7.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jonathan StewartCRAN page ↗

Estimates exponential-family random graph models for multilevel network data, assuming the multilevel structure is observed. The scope, at present, covers multilevel models where the set of nodes is nested within known blocks. The estimation method uses Monte-Carlo maximum likelihood estimation (MCMLE) methods to estimate a variety of canonical or curved exponential family models for binary random graphs. MCMLE methods for curved exponential-family random graph models can be found in Hunter and Handcock (JCGS, 2006). The package supports parallel computing, and provides methods for assessing goodness-of-fit of models and visualization of networks.

Install

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

install.packages("mlergm", 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-mlergm

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-mlergm

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-mlergm

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: 3.2 min · r-oldrel-windows-x86_64

Status changes

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

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.8.1

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13
Examples that run: 33%1 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 38%
Documented parameters: 99%
Return-value docs: 75%
Help pages citing references: 46%

Vignettes (1)

Tutorial: mlergm HTML

How these are measured

Downloads

7.3K

CRAN downloads in the past year

Rank #7,911 · ~20/day · ~608/mo

Releases R versions

Daily download trend is not available in this view yet.

42630 days

1.1K90 days

7.3K1 year

Compare downloads with other packages →

Also on90 r2u11 autocran804 conda_forge

How downloads are counted

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing mlergm adds 62 packages (31 with compiled code, 47 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, patchwork 3.2 MB.

Depends (3)

R >= 4.0.0ergm network

Imports (14)

parallelMatrixstringrstatsGGally ggplot2 cowplot reshape2 plyrmethodsgraphicslpSolve sna statnet.common

LinkingTo (0)

none

Suggests (3)

RColorBrewer knitr rmarkdown

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 (2)

Jonathan Stewart

Maintainer since 0.1 (2018), Author

Michael Schweinberger

Contributor

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.8.1Latest
record
2025-05-22 · current release · diff ↗ ·
added 3 exports
compute_CI, eta, extract_block
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
R
R 4.2.0 released · 2022-04-22
0.8
record
2021-08-23 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.7
record
2020-11-17 · diff ↗
0.6
record
2020-07-03 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.5
record
2020-01-09 · diff ↗
0.4
record
2019-11-04 · diff ↗
0.3
record
2019-09-21 · diff ↗
0.2
record
2019-05-15 · diff ↗
R
R 3.6.0 released · 2019-04-26

Show 2 earlier eventsHide 2 earlier events

0.1
record
2018-12-03
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-12-03
Total releases: 9 / 8 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 9.7 KB / 1 file
Download size: 841 KB

Appears in task views

Network Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlergm")

Format

Stewart, J., & Schweinberger, M. (2025). mlergm: Multilevel Exponential-Family Random Graph Models (Version 0.8.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mlergm

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 mlergm version 0.8.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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