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.
A method for the quantitative prediction with much predictors. This package provides functions to construct the quantitative prediction model with less overfitting and robust to noise.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, kernlab |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2022-03-21 |
| Author: | Takahiko Koizumi, Kenta Suzuki, Yasunori Ichihashi |
| Maintainer: | Takahiko Koizumi <takahiko.koizumi at riken.jp> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/takakoizumi/PLORN |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | PLORN results |
| Reference manual: | PLORN.pdf |
| Vignettes: |
PLORN |
| Package source: | PLORN_0.1.1.tar.gz |
| Windows binaries: | r-devel: PLORN_0.1.1.zip, r-release: PLORN_0.1.1.zip, r-oldrel: PLORN_0.1.1.zip |
| macOS binaries: | r-release (arm64): PLORN_0.1.1.tgz, r-oldrel (arm64): PLORN_0.1.1.tgz, r-release (x86_64): PLORN_0.1.1.tgz, r-oldrel (x86_64): PLORN_0.1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=PLORN 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.