This package was removed from CRAN on 2023-07-09. Its history is shown below.
Reason: requires archived package 'dynwrap'
Details below reflect version 1.0.1, its last release before removal.
dynfeature
1.0.1Feature Importance for Dynamic Processes
0packages depend
–downloads / year
–test coverage
–checks pass
Overview
About
Calculating feature importance scores from trajectories using the random forests algorithm and more. Saelens and Cannoodt et al. (2019) doi:10.1038/s41587-019-0071-9.
Install
Health
CRAN checks
CRAN check results are not tracked yet.
Code health
Yes
Tests · ratio 0.38
not tracked
Coverage
100%
Documentation · exports
9
Dependencies · direct
Documentation
Documentation
READMEYes · 151 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Daily download trend is not available in this view yet.
Also on66 r2u15 autocran
Dependencies
Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)
Nothing depends on this yet.
Code & Tests
People & History
People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author
Package Timeline
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2023-07-09requires archived package 'dynwrap'
- RR 4.3.0 released · 2023-04-21
- 1.0.12023-03-01 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.0.02021-06-14
- RR 4.1.0 released · 2021-05-18
0 of 2 selectedCompare selected
Package metadata
- Total releases
- 2
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("dynfeature")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.
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.