Kernel Quantile Regression | Non-Crossing Kernel Quantile Regression | Regularized Linear Quantile Regression
Package: fastkqr 1.0.1
fastkqr: A Fast Algorithm for Kernel Quantile Regression
Implements fast algorithms for kernel quantile regression and related models, including non-crossing kernel quantile regression and regularized linear quantile regression. The methods are described in Tang, Gu and Wang (2026) <doi:10.1080/10618600.2025.2541004>.
Authors:
fastkqr_1.0.1.tar.gz
fastkqr_1.0.1.zip(r-4.7-x86_64)fastkqr_1.0.1.zip(r-4.7-arm64)fastkqr_1.0.1.zip(r-4.6-x86_64)fastkqr_1.0.1.zip(r-4.6-arm64)fastkqr_1.0.1.zip(r-4.5-x86_64)
fastkqr_1.0.1.tgz(r-4.6-x86_64)fastkqr_1.0.1.tgz(r-4.6-arm64)fastkqr_1.0.1.tgz(r-4.5-x86_64)fastkqr_1.0.1.tgz(r-4.5-arm64)
fastkqr_1.0.1.tar.gz(r-4.7-arm64)fastkqr_1.0.1.tar.gz(r-4.7-x86_64)fastkqr_1.0.1.tar.gz(r-4.6-arm64)fastkqr_1.0.1.tar.gz(r-4.6-x86_64)
fastkqr_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
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 from:f3fea14aca. Checks:14 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 102 | ||
| linux-devel-x86_64 | OK | 120 | ||
| source / vignettes | OK | 219 | ||
| linux-release-arm64 | OK | 101 | ||
| linux-release-x86_64 | OK | 113 | ||
| macos-release-arm64 | OK | 110 | ||
| macos-release-x86_64 | OK | 246 | ||
| macos-oldrel-arm64 | OK | 115 | ||
| macos-oldrel-x86_64 | OK | 221 | ||
| windows-devel-arm64 | OK | 326 | ||
| windows-devel-x86_64 | OK | 108 | ||
| windows-release-arm64 | WARNING | 321 | ||
| windows-release-x86_64 | OK | 103 | ||
| windows-oldrel-x86_64 | OK | 74 | ||
| wasm-release | OK | 101 |
Exports:cv.kqrcv.nckqrcv.qrkqrnckqrqr
Dependencies:
