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>
License: MIT + file LICENSE
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:, r-release:, r-oldrel:
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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