fastkqr
A Fast Algorithm for Kernel Quantile Regression
An efficient algorithm to fit and tune kernel quantile regression models based on the majorization-minimization (MM) method. It can also fit multiple quantile curves simultaneously without crossing.
- Version1.0.0
- R version≥ 3.5.0 methods
- LicenseGPL-2
- Needs compilation?Yes
- Last release05/13/2024
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Team
Qian Tang
Yuwen Gu
Show author detailsRolesAuthorBoxiang Wang
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- Depends1 package
- Imports7 packages
- Suggests2 packages