SEPaLS
Shrinkage for Extreme Partial Least-Squares (SEPaLS)
Regression context for the Partial Least Squares framework for Extreme values. Estimations of the Shrinkage for Extreme Partial Least-Squares (SEPaLS) estimators, an adaptation of the original Partial Least Squares (PLS) method tailored to the extreme-value framework. The SEPaLS project is a joint work by Stephane Girard, Hadrien Lorenzo and Julyan Arbel. R code to replicate the results of the paper is available at
- Version0.1.0
- R version≥ 3.5.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release10/24/2023
Documentation
Team
Hadrien Lorenzo
Stephane Girard
Show author detailsRolesAuthorJulyan Arbel
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package