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 |
| DOI: | 10.32614/CRAN.package.PLORN |
| 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 |
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