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scDHA

1.2.3

Single-Cell Decomposition using Hierarchical Autoencoder

0packages depend
2.9Kdownloads / year
57.1%test coverage
13/13checks pass

Overview

About
Maintained by Ha NguyenFirst published 2021-06-097 releasesCRAN page ↗GitHub ↗

Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) DOI:10.1038/s41467-021-21312-2).

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.03
57.1%
Coverage · measured lines
100%
Documentation · exports
14
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-04-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-09
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 355 wordsVignettesYes · staticpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.9K
CRAN downloads in the past year
Rank #11,522 · ~8/day · ~240/mo
Daily download trend is not available in this view yet.
27330 days
85590 days
2.9K1 year
Compare downloads with other packages →
Also on518 r2u20 autocran

Repository

Repository
42Stars
6Forks
3Open issues
0Open PRs
2Releases
63Commits
5Contributors
63 commits · Last activity 2025-09-24 · 0% stars, 30d

Stars over time

2025-06-11 · 412026-07-07 · 42

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/duct317/scdha on 2026-08-16.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.4
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Maintainer · added in 1.2.2
Authors (1)
Author
Contributors (1)
Contributor · added in 1.2.1
Funders (1)
Listed in earlier versions (2)
no longer listed · 1.2.1
no longer listed · 1.2.1
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.3Latest
    2025-09-24 · current release · diff ↗
  • unarchivedReturned to CRAN
    2025-09-24
  • R
    R 4.5.0 released · 2025-04-11
  • archivedRemoved from CRAN
    2025-03-14
    issues were not corrected in time
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.2
    2024-04-03 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.1
    2023-04-04 · diff ↗
  • unarchivedReturned to CRAN
    2023-04-04
  • archivedRemoved from CRAN
    2023-03-11
    requires archived package 'clusterCrit'
  • 1.2.0
    2022-08-18 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.2
    2021-09-15 · diff ↗
  • 1.1.1
    2021-06-11 · diff ↗
  • 1.1.0
    2021-06-09
Show 1 earlier events
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-06-09
Total releases
7 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.4
Bundled data
2.2 MB / 2 files
Download size
2.2 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scDHA")
Nguyen, H., Chen, H., Nguyen, T., & Tran, D. (2025). scDHA: Single-Cell Decomposition using Hierarchical Autoencoder (Version 1.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.scDHA

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for scDHA version 1.2.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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