Package: fastkqr 1.0.0
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.
Authors:
fastkqr_1.0.0.tar.gz
fastkqr_1.0.0.zip(r-4.5)fastkqr_1.0.0.zip(r-4.4)fastkqr_1.0.0.zip(r-4.3)
fastkqr_1.0.0.tgz(r-4.4-x86_64)fastkqr_1.0.0.tgz(r-4.4-arm64)fastkqr_1.0.0.tgz(r-4.3-x86_64)fastkqr_1.0.0.tgz(r-4.3-arm64)
fastkqr_1.0.0.tar.gz(r-4.5-noble)fastkqr_1.0.0.tar.gz(r-4.4-noble)
fastkqr_1.0.0.tgz(r-4.4-emscripten)fastkqr_1.0.0.tgz(r-4.3-emscripten)
fastkqr.pdf |fastkqr.html✨
fastkqr/json (API)
| # Install 'fastkqr' in R: |
| install.packages('fastkqr', repos = c('https://qiantang0326.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:80a6e89af8. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 12 2024 |
| R-4.5-win-x86_64 | NOTE | Oct 12 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 12 2024 |
| R-4.4-win-x86_64 | NOTE | Oct 12 2024 |
| R-4.4-mac-x86_64 | NOTE | Oct 12 2024 |
| R-4.4-mac-aarch64 | NOTE | Oct 12 2024 |
| R-4.3-win-x86_64 | NOTE | Oct 12 2024 |
| R-4.3-mac-x86_64 | NOTE | Oct 12 2024 |
| R-4.3-mac-aarch64 | NOTE | Oct 12 2024 |
