mmdcopula
Robust Estimation of Copulas by Maximum Mean Discrepancy
Science Score: 13.0%
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 3 DOI reference(s) in README -
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.6%) to scientific vocabulary
Keywords
Repository
Robust Estimation of Copulas by Maximum Mean Discrepancy
Basic Info
Statistics
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Package MMDCopula
This package implements the robust estimation procedure of copulas via maximum mean discrepancy (MMD), following the article Alquier, Chérief-Abdellatif, Derumigny, and Fermanian, J.D. (2022), Estimation of copulas via Maximum Mean Discrepancy. Journal of the American Statistical Association, doi:10.1080/01621459.2021.2024836.
How to install
The release version on CRAN:
r
install.packages("MMDCopula")
The development version from GitHub:
```r
install.packages("remotes")
remotes::install_github("AlexisDerumigny/MMDCopula") ```
Main functions
BiCopEstMMD: estimate the parameter of a parametric bivariate copula by MMD minimization.BiCopConfIntMMD: compute a bootstrap-based or subsampling-based confidence interval for the parameter of a parametric bivariate copula.BiCopGradMMD: compute the gradient of the MMD criteria. Used inBiCopEstMMD.
Functions for simulation and inference for the Marshall-Olkin copula
BiCopSim.MO: simulation of observations following a Marshall-Olkin copula.BiCopEst.MO: estimation of the parameter of a Marshall-Olkin copula.BiCopPar2Tau.MOandBiCopTau2Par.MO: convert between the parameter and the Kendall's tau of a Marshall-Olkin copula.
Other functions
BiCopParamDistLp: compute the $L^p$ distance between two parametric copula models.
Owner
- Login: AlexisDerumigny
- Kind: user
- Website: https://alexisderumigny.wordpress.com/
- Repositories: 10
- Profile: https://github.com/AlexisDerumigny
GitHub Events
Total
Last Year
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| AlexisDerumigny | A****y | 24 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total 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
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
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 243 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
cran.r-project.org: MMDCopula
Robust Estimation of Copulas by Maximum Mean Discrepancy
- Documentation: http://cran.r-project.org/web/packages/MMDCopula/MMDCopula.pdf
- License: GPL-3
-
Latest release: 0.2.1
published almost 4 years ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.6.0 depends
- VineCopula * imports
- cubature * imports
- pbapply * imports
- randtoolbox * imports
- wdm * imports
- knitr * suggests
- rmarkdown * suggests