Skip to content

SingleCellStat

0.3.1Package record

A Toolkit for Statistical Analysis of Single-Cell Omics Data

0packages depend
2Kdownloads / year
–test coverage
11/13flavors OK

Overview

About
Maintained by Jun ChenCRAN 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

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘vegan’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.3.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

2K
CRAN downloads in the past year
Rank #24,003 · ~6/day · ~168/mo
Daily download trend is not available in this view yet.
19030 days
53290 days
2K1 year
Compare downloads with other packages →
Also on85 r2u3 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing SingleCellStat adds 3 packages (2 with compiled code, 1.7 MB of source tarballs). Heaviest: vegan 1.4 MB, matrixStats 207 KB, permute 118 KB.

Depends (1)
R >= 4.3.0
Imports (5)
matrixStatsMatrixstatsutilsvegan
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.3.1 (2025)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.1Latest
    2025-05-13 · 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SingleCellStat")
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 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SingleCellStat version 0.3.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy