R Observatory: Metrics for MosaiClusteR version 0.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MosaiClusteR

0.1.4Package record

An Umbrella Framework for Multi-Source and Multi-Omics Clustering

0packages depend

1.1Kdownloads / year

29.0%test coverage

13/13flavors OK

Overview

About

Maintained by Bernard Isekah Osang'irCRAN page ↗GitHub ↗Issues ↗

An umbrella framework ("MoSaIC:" Multi-Omics Similarity Aggregation and Integrative Clustering in R) that unifies a large collection of multi-source / multi-omics clustering methodologies behind a single, consistent list-of-matrices interface. It spans five integration paradigms - direct, similarity-based, graph-based, voting-based consensus, and hierarchy-based - and bundles a complete downstream workflow for method comparison and evaluation. The package features the multi-source the ability to compare many algorithms on the same footing, a data-nugget based feature-weighting scheme as a robust, big-data-friendly alternative to variance weighting, and a downstream suite for cluster characterisation, visualisation and biological interpretation.

Changes in 0.1.4

**CharacteristicFeatures() bug fix.** When called with binData (the common case, as in the documented example) an inner loop index overwrote the cluster index, so only the first cluster's characteristic features were returned, and a datanames mis-index left the per-source result list unnamed. Both are fixed: features are now computed and named for every cluster.
**plot_pathways(style = "circular").** New radial (sunburst-style) bar plot that groups the enriched terms by cluster around a central hub. Bar length encodes \eqn{-\log_{10}} p and colour encodes the cluster; each term is a single-line radial label that stays legible as the number of terms grows. Complements the existing "dotplot" and "lollipop" styles.
**enriched_features()** - new helper that turns [CharacteristicFeatures()] output into a per-cluster list of compact term/pvalue/Count tables (keeping the significant, enriched features and tidying their names), ready to hand straight to plot_pathways().

Show all changes in 0.1.4Hide the rest of the changes in 0.1.4

plot_pathways(style = "circular") gained cluster_cols to supply an explicit per-cluster palette (e.g. to match the colours used by Cyclogram()), and wrap to control radial label wrapping.
FeaturesOfCluster() and BinFeaturesPlot_SingleData() gained cexB, cexR and cexN arguments to control the object, feature and name label sizes; Cyclogram() now defaults to a larger cex.labels.

From NEWS.md in the release

Install

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

install.packages("MosaiClusteR", 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("lucp12891/MosaiClusteR")

Development version from lucp12891/MosaiClusteR. 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-mosaicluster

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-MosaiClusteR

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-MosaiClusteR

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: 4.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK12 OK2026-08-05
NOTE8 OK, 1 NOTE2026-07-31
OK5 OK2026-07-30

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.4

READMEYes · 2,423 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.4Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION

Help pages: 100 (1 internal)includes a package overview page
Examples that run: 34%30 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 56 never run
Exported functions with examples: 89%
Documented parameters: 89%
Return-value docs: 97%
Help pages citing references: 37% with a bibliography file

Vignettes (1)

MosaiClusteR: an umbrella framework for multi-source and multi-omics clustering

How these are measured

Downloads

1.1K

CRAN downloads in the past year

Rank #8,197 · ~3/day · ~94/mo

Releases R versions

Daily download trend is not available in this view yet.

29930 days

1.1K90 days

1.1K1 year

Compare downloads with other packages →

Also on51 r2u1 autocran

How downloads are counted

Repository

lucp12891/mosaicluster ↗Account: lucp12891

2Stars

0Forks

0Open issues

0Open PRs

2Releases

19Commits

1Commit identities

19 commits · Last activity 2026-09-15 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2026-07-30 · 12026-09-07 · 2

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/lucp12891/mosaicluster on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on macOS

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

Dependencies

Declared dependencies

40 external dependencies (excludes base and recommended)

Installing MosaiClusteR adds 24 packages (17 with compiled code, 23 MB of source tarballs). Heaviest: data.table 5.7 MB, sp 4.3 MB, ade4 3.2 MB.

Depends (1)

R >= 4.0

Imports (15)

statsutilsmethodsgraphicsgrDevicesclusterfastcluster matrixStats FD ade4 e1071 gtools data.table Rcpp Rdpack

LinkingTo (1)

Rcpp

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 (5)

Bernard Isekah Osang'ir

Author, Maintainer since 0.1.0 (2026)

Author

Contributor

Contributor

Contributor

Releases (3)

Pick two releases to compare their code metrics.

0.1.4Latest
record
2026-10-21 · current release · diff ↗ ·
removed 1 export
M_ABCpp

added 3 exports
M_ABC, enriched_features, plot_pathways
·
14 hours in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-20 21:03 to 2026-10-21 10:55 UTC, in 4 readings.
0.1.1
record
2026-08-21 · diff ↗
0.1.0
record
2026-07-29
R
R 4.6.0 released · 2026-04-24

Across CRAN, the median accepted release of the past year spent 26 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-07-29
Total releases: 3 / 1 yrs
License: CC BY-SA 4.0 · relicensed from GPL-3 in 0.1.1
Minimum R: ≥ 4.0
Bundled data: 121 KB / 1 file
Download size: 438 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("MosaiClusteR")

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

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 MosaiClusteR version 0.1.4 [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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