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❗ This is a read-only mirror of the CRAN R package repository. PLORN — Prediction with Less Overfitting and Robust to Noise. Homepage: https://github.com/takakoizumi/PLORN

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PLORN

The goal of PLORN is to provide the functions to construct a prediction model of environments using noisy omics data linked with the environments based on PLORN algorithm.

Installation

You can install the development version of PLORN from GitHub with:
#install.packages(“devtools”)
devtools::install_github(“takakoizumi/PLORN”)

Example

install.packages(“PLORN”)
library(PLORN)
# basic example code
data(Pinus)
x.train <- Pinus[[1]]
x.test <- Pinus[[2]]
y <- Pinus[[3]]
cor(y, plorn(x.train, y, newx = x.test, n.pred = 100))

About

❗ This is a read-only mirror of the CRAN R package repository. PLORN — Prediction with Less Overfitting and Robust to Noise. Homepage: https://github.com/takakoizumi/PLORN

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