The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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))

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.