R Observatory: Metrics for SingleCellStat version 0.3.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SingleCellStat

0.3.1

A Toolkit for Statistical Analysis of Single-Cell Omics Data

0packages depend

1.9Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Jun ChenFirst published 2025-05-131 releasesCRAN page ↗

A suite of statistical methods for analysis of single-cell omics data including linear model-based methods for differential abundance analysis for individual level single-cell RNA-seq data. For more details see Zhang, et al. (Submitted to Bioinformatics)https://github.com/Lujun995/DiSC_Replication_Code.

Install

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

install.packages("SingleCellStat", 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-singlecellstat

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

# 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-SingleCellStat

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-SingleCellStat

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 2.7 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

5

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 50%

Downloads

1.9K

CRAN downloads in the past year

Rank #20,582 · ~5/day · ~159/mo

Releases R versions

Daily download trend is not available in this view yet.

16030 days

55290 days

1.9K1 year

Compare downloads with other packages →

Also on147 r2u29 autocran

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.3.0

Imports (5)

matrixStatsMatrixstatsutilsvegan

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Jun Chen

Author, Maintainer

Authors (2)

Jun Chen

Author, Maintainer

Lujun Zhang

Author

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.3.1Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-05-13
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.3.0
Bundled data: 2.4 MB / 1 file
Download size: 2.5 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SingleCellStat")

Format

Chen, J., & Zhang, L. (2025). SingleCellStat: A Toolkit for Statistical Analysis of Single-Cell Omics Data (Version 0.3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.SingleCellStat

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 SingleCellStat version 0.3.1 [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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