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.
Non-parametric methods as local normal regression, polynomial local regression and penalized cubic B-splines regression are used to estimate quantiles curves. See Fan and Gijbels (1996) <doi:10.1201/9780203748725> and Perperoglou et al.(2019) <doi:10.1186/s12874-019-0666-3>.
| Version: | 1.0.0 |
| Imports: | graphics, KernSmooth, locpol, np, quantreg, quantregGrowth, stats |
| Published: | 2022-03-11 |
| DOI: | 10.32614/CRAN.package.quantCurves |
| Author: | Sandie Ferrigno [cre, aut], Dounia Essaket [ctb], Arthur Mouchot [ctb], Hugo Breton [ctb], Myriam Maumy [ctb] |
| Maintainer: | Sandie Ferrigno <sandie.ferrigno at univ-lorraine.fr> |
| License: | CeCILL version 2 | CECILL-2.1 [expanded from: CeCILL] |
| NeedsCompilation: | no |
| CRAN checks: | quantCurves results |
| Reference manual: | quantCurves.pdf |
| Package source: | quantCurves_1.0.0.tar.gz |
| Windows binaries: | r-devel: quantCurves_1.0.0.zip, r-release: quantCurves_1.0.0.zip, r-oldrel: quantCurves_1.0.0.zip |
| macOS binaries: | r-release (arm64): quantCurves_1.0.0.tgz, r-oldrel (arm64): quantCurves_1.0.0.tgz, r-release (x86_64): quantCurves_1.0.0.tgz, r-oldrel (x86_64): quantCurves_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=quantCurves 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.