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joinet

Multivariate Elastic Net Regression

Installation

About

Implements high-dimensional multivariate regression by stacked generalisation (Rauschenberger 2021 doi:10.1093/bioinformatics/btab576). For positively correlated outcomes, a single multivariate regression is typically more predictive than multiple univariate regressions. Includes functions for model fitting, extracting coefficients, outcome prediction, and performance measurement. If required, install MRCE or remMap from GitHub (, ).

Citation joinet citation info
github.com/rauschenberger/joinet
Bug report File report

Key Metrics

Version 0.0.10
R ≥ 3.0.0
Published 2021-08-09 991 days ago
Needs compilation? no
License GPL-3
CRAN checks joinet results
Language en-GB

Downloads

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Maintainer

Maintainer

Armin Rauschenberger

armin.rauschenberger@uni.lu

Authors

Armin Rauschenberger

aut / cre

Material

README
NEWS
Reference manual
Package source

In Views

MachineLearning

Vignettes

article
vignette
analysis

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

Old Sources

joinet archive

Depends

R ≥ 3.0.0

Imports

glmnet
palasso
cornet

Suggests

knitr
rmarkdown
testthat
MASS

Enhances

mice
earth
spls
MRCE
remMap
MultivariateRandomForest
SiER
mcen
GPM
RMTL
MTPS