dccpp
Fast computation of Distance Correlation and Distance Covariance in R
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary
Keywords
statistics
Last synced: 11 months ago
·
JSON representation
Repository
Fast computation of Distance Correlation and Distance Covariance in R
Basic Info
- Host: GitHub
- Owner: BerriJ
- License: gpl-3.0
- Language: C++
- Default Branch: main
- Homepage: http://dccpp.berrisch.biz/
- Size: 1.92 MB
Statistics
- Stars: 9
- Watchers: 1
- Forks: 4
- Open Issues: 0
- Releases: 0
Topics
statistics
Created over 4 years ago
· Last pushed almost 3 years ago
https://github.com/BerriJ/dccpp/blob/main/
The dccpp R Package
======================
[](https://github.com/BerriJ/dccpp/actions/workflows/R-CMD-check.yaml)
[](https://dccpp.berrisch.biz/)
[](https://lifecycle.r-lib.org/articles/stages.html#stable)
Fast computation of the distance covariance `dcov` and distance correlation `dcor`. The computation cost is only O(n log(n)) for the distance correlation (see Chaudhuri, Hu, 2019, [arXiv](https://arxiv.org/abs/1810.11332), [elsevier](https://doi.org/10.1016/j.csda.2019.01.016)). The functions are written entirely in C++ to speed up the computation.
Installation
------------
### Install from CRAN
``` r
install.packages("dccpp")
```
### Install from GitHub
``` r
# install.packages("remotes")
remotes::install_github("BerriJ/dccpp")
```
## Usage
``` r
dcov(x, y) # To calculate the distance covariance
dcor(x, y) # To calculate the distance correlation
```
## Contributions and Issues
Feel free to [raise an issue](https://github.com/BerriJ/dccpp/issues/new) if you find something not working properly.
You are also very welcome to contribute to `dcccp`. Please base your pull requests on the development branch. Note that this package focuses on performance, PR's that improve the performance are particularly welcome.
## License
[GNU General Public License](https://www.gnu.org/licenses/) ( 3)
Owner
- Name: Jonathan Berrisch
- Login: BerriJ
- Kind: user
- Location: Wuppertal, Germany
- Company: University of Duisburg-Essen
- Website: www.berrisch.biz
- Repositories: 7
- Profile: https://github.com/BerriJ
Data Scientist, Ph.D. Student and Unix Nerd.
GitHub Events
Total
- Watch event: 2
- Fork event: 1
Last Year
- Watch event: 2
- Fork event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jonathan Berrisch | j****n@b****z | 22 |
Committer Domains (Top 20 + Academic)
berrisch.biz: 1
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 12 minutes
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- BerriJ (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 235 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
cran.r-project.org: dccpp
Fast Computation of Distance Correlations
- Homepage: https://dccpp.berrisch.biz/
- Documentation: http://cran.r-project.org/web/packages/dccpp/dccpp.pdf
- License: GPL (≥ 3)
-
Latest release: 0.1.0
published almost 3 years ago
Rankings
Forks count: 17.8%
Stargazers count: 26.2%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Average: 37.3%
Downloads: 77.4%
Maintainers (1)
Last synced:
11 months ago