R Observatory: Metrics for CIARA version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CIARA

0.1.0

Cluster Independent Algorithm for Rare Cell Types Identification

1packages depend

3.1Kdownloads / year

–test coverage

10/13checks pass

Overview

About

Maintained by Gabriele LubattiFirst published 2022-02-221 releasesCRAN page ↗

Identification of markers of rare cell types by looking at genes whose expression is confined in small regions of the expression space https://github.com/ScialdoneLab.

Install

R (CRAN)Ubuntu (r2u)

install.packages("CIARA", 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-ciara

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

Health

CRAN checks

3NOTE10OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-oldrel-macos-x86_64

Slowest check: 2.9 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.06

not tracked

Coverage

100%

Documentation · exports

4

Dependencies · direct

Check history

NOTE2026-06-09
10 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
8 OK · 6 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 397 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: not tracked
Documented parameters: 100%
Return-value docs: 94%
References docs: 0%

Downloads

3.1K

CRAN downloads in the past year

Rank #10,846 · ~8/day · ~258/mo

Releases R versions

Daily download trend is not available in this view yet.

26830 days

91090 days

3.1K1 year

Compare downloads with other packages →

Also on249 r2u

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0

Imports (4)

Biobase ggplot2 ggraph magrittr

LinkingTo (0)

none

Suggests (8)

circlize clustree ComplexHeatmap plotly Seurat testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

SCOPRO

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (1)

Gabriele Lubatti

no longer listed · 0.1.0

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2022-02-22
Total releases: 1 / 4 yrs
License: Artistic-2.0 OSI
Minimum R: ≥ 4.0
Download size: 4.7 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CIARA")

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 CIARA version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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