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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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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.
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