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CRAN: Package PLORN

PLORN: Prediction with Less Overfitting and Robust to Noise

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 Documentation: Reference manual: PLORN.pdf Vignettes: PLORN (source, R code)
Downloads: 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 Linking:

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