This package is considered a duplicate. The official version of this package is found at:https://qiantang0326.r-universe.dev/fastkqr
Package: fastkqr 1.0.0
Qian Tang
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.tar.gz(r-4.7-arm64)fastkqr_1.0.0.tar.gz(r-4.7-x86_64)fastkqr_1.0.0.tar.gz(r-4.6-arm64)fastkqr_1.0.0.tar.gz(r-4.6-x86_64)
fastkqr_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fastkqr/json (API)
| # Install 'fastkqr' in R: |
| install.packages('fastkqr', repos = c('https://cran.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:80a6e89af8. Checks:4 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 136 | ||
| linux-devel-x86_64 | NOTE | 160 | ||
| source / vignettes | OK | 195 | ||
| linux-release-arm64 | NOTE | 117 | ||
| linux-release-x86_64 | NOTE | 151 | ||
| wasm-release | OK | 111 |
