PLORN

Prediction with Less Overfitting and Robust to Noise

Installation

About

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.

github.com/takakoizumi/PLORN

Key Metrics

Version	0.1.1
R	≥ 3.5.0
Published	2022-03-21 771 days ago
Needs compilation?	no
License	MIT
License	File
CRAN checks	PLORN results
Language	en-US

Downloads

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Last 30 days	329 0%
Last 90 days	923 +3%
Last 365 days	3.257 +55%

Maintainer

Takahiko Koizumi

takahiko.koizumi@riken.jp

Authors

Takahiko Koizumi
Kenta Suzuki
Yasunori Ichihashi

Material

README
NEWS
Reference manual
Package source

Vignettes

PLORN

macOS

r-release	arm64
r-oldrel	arm64
r-release	x86_64
r-oldrel	x86_64

Windows

r-devel	x86_64
r-release	x86_64
r-oldrel	x86_64

Depends

≥ 3.5.0

Imports

ggplot2
kernlab

Suggests

knitr
rmarkdown
testthat	≥ 3.0.0