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DDRTree

0.1.6

Learning Principal Graphs with DDRTree

0packages depend
64.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Brent EwingFirst published 2016-02-024 releasesCRAN page ↗

Provides an implementation of the framework of reversed graph embedding (RGE) which projects data into a reduced dimensional space while constructs a principal tree which passes through the middle of the data simultaneously. DDRTree shows superiority to alternatives (Wishbone, DPT) for inferring the ordering as well as the intrinsic structure of the single cell genomics data. In general, it could be used to reconstruct the temporal progression as well as bifurcation structure of any datatype.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-02
    13 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 1 earlier snapshots
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 13 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
50%
References docs
0%

Downloads

64.1K
CRAN downloads in the past year
Rank #1,838 · ~175/day · ~5.3K/mo
Daily download trend is not available in this view yet.
3.9K30 days
12.9K90 days
64.1K1 year
Compare downloads with other packages →
Also on1.2K r2u11 autocran7.5K conda_forge195 bioconda

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
Imports (1)
LinkingTo (3)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)
Maintainer (1)
Maintainer · added in 0.1.6
Authors (4)
Author
Author
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.6Latest
    2026-03-03 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.5
    2017-04-30 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.4
    2016-07-26 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1.3
    2016-02-02
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-02-02
Total releases
4 / 10 yrs
License
Artistic License 2.0
Download size
16 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DDRTree")
Ewing, B., Mao, Q., Qiu, X., Trapnell, C., & Wang, L. (2026). DDRTree: Learning Principal Graphs with DDRTree (Version 0.1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.DDRTree

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 DDRTree version 0.1.6 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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