CRAN/E | cornet

cornet

Elastic Net with Dichotomised Outcomes

Installation

About

Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2023, doi:10.1080/02664763.2023.2233057). Such outcomes are not naturally but artificially binary. They indicate whether an underlying measurement is greater than a threshold.

github.com/rauschenberger/cornet
Bug report File report

Key Metrics

Version 0.0.9
R ≥ 3.0.0
Published 2023-08-11 253 days ago
Needs compilation? no
License GPL-3
CRAN checks cornet results
Language en-GB

Downloads

Yesterday 30
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Last 30 days 340 -11%
Last 90 days 1.293 +16%
Last 365 days 5.124 -3%

Maintainer

Maintainer

Armin Rauschenberger

armin.rauschenberger@uni.lu

Authors

Armin Rauschenberger

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

application
article
simulation
vignette

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

cornet archive

Depends

R ≥ 3.0.0

Imports

glmnet
palasso

Suggests

knitr
testthat
rmarkdown

Enhances

RColorBrewer
MASS
mvtnorm
randomForest
xgboost
MLmetrics

Reverse Imports

joinet
starnet