The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0), methods |
| Imports: | graphics, grDevices, stats, utils, dotCall64, rlang, MASS, Matrix |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-05-13 |
| DOI: | 10.32614/CRAN.package.fastkqr |
| Author: | Qian Tang [aut, cre], Yuwen Gu [aut], Boxiang Wang [aut] |
| Maintainer: | Qian Tang <qian-tang at uiowa.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | fastkqr results |
| Reference manual: | fastkqr.pdf |
| Vignettes: |
Getting started with fastkqr |
| Package source: | fastkqr_1.0.0.tar.gz |
| Windows binaries: | r-devel: fastkqr_1.0.0.zip, r-release: fastkqr_1.0.0.zip, r-oldrel: fastkqr_1.0.0.zip |
| macOS binaries: | r-release (arm64): fastkqr_1.0.0.tgz, r-oldrel (arm64): fastkqr_1.0.0.tgz, r-release (x86_64): fastkqr_1.0.0.tgz, r-oldrel (x86_64): fastkqr_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=fastkqr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.