cornet: Elastic Net with Dichotomised Outcomes

Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2019). Such outcomes are not naturally but artificially binary. They indicate whether an underlying measurement is greater than a threshold.

Version: 0.0.1
Depends: R (≥ 3.0.0)
Imports: glmnet, palasso
Suggests: knitr, testthat
Enhances: RColorBrewer
Published: 2019-03-21
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <a.rauschenberger at vumc.nl>
BugReports: https://github.com/rauschenberger/cornet/issues
License: GPL-3
URL: https://github.com/rauschenberger/cornet
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: cornet results

Downloads:

Reference manual: cornet.pdf
Vignettes: article
vignette
Package source: cornet_0.0.1.tar.gz
Windows binaries: r-devel: cornet_0.0.1.zip, r-release: cornet_0.0.1.zip, r-oldrel: cornet_0.0.1.zip
OS X binaries: r-release: cornet_0.0.1.tgz, r-oldrel: cornet_0.0.1.tgz

Reverse dependencies:

Reverse imports: joinet

Linking:

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