R Observatory: Metrics for MLVSBM version 0.2.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-09-23. Its history is shown below.

Reason: check problems were not corrected despite reminders

Details below reflect version 0.2.4, its last release before removal.

MLVSBM

0.2.4Package record

A Stochastic Block Model for Multilevel Networks

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Saint-Clair Chabert-LiddellCRAN page ↗GitHub ↗

Simulation, inference and clustering of multilevel networks using a Stochastic Block Model framework as described in Chabert-Liddell, Barbillon, Donnet and Lazega (2021) doi:10.1016/j.csda.2021.107179. A multilevel network is defined as the junction of two interaction networks, the upper level or inter-organizational level and the lower level or inter-individual level. The inter-level represents an affiliation relationship.

Changes in 0.2.4

Minor bug fix

From NEWS.md in the release

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/MLVSBM/MLVSBM_0.2.4.tar.gz"
pkgFile <- "MLVSBM_0.2.4.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.2.4) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

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

Development version from Chabert-Liddell/MLVSBM. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.4

READMEYes · 355 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 19 (1 internal)
Examples that run: 100%5 run in a plain check
Exported functions with examples: 56%
Documented parameters: 100%
Return-value docs: 63%
Help pages citing references: 0%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on58 r2u10 autocran

How downloads are counted

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (5)

R6 blockmodels ape magrittrcluster

LinkingTo (0)

none

Suggests (10)

testthat covr knitr rmarkdown ggplot2 (>= 3.3.2)ggforce spelling cowplot reshape2 dplyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Saint-Clair Chabert-Liddell

Author, Maintainer since 0.2.1 (2021)

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-09-23
check problems were not corrected despite reminders
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
unarchivedReturned to CRAN
2022-08-05
0.2.4
record
2022-08-05 · diff ↗
R
R 4.2.0 released · 2022-04-22
archivedRemoved from CRAN
2022-04-20
check issues were not corrected in time
0.2.3
record
2022-04-01 · diff ↗
0.2.2
record
2021-06-10 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.2.1
record
2021-02-10
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-02-10
Total releases: 4 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0

Cite

Cite this package

Run in R for the authors' entry:

citation("MLVSBM")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.csda.2021.107179.

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 MLVSBM version 0.2.4 [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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