Implements lasso and ridge regression for dichotomised outcomes (<doi:10.1080/02664763.2023.2233057>), i.e., numerical outcomes that were transformed to binary outcomes. Such artificial binary outcomes indicate whether an underlying measurement is greater than a threshold.
Version: | 1.0.0 |
Depends: | R (≥ 3.0.0) |
Imports: | glmnet, palasso |
Suggests: | knitr, testthat, rmarkdown, RColorBrewer, MASS, mvtnorm, randomForest, xgboost, MLmetrics |
Published: | 2024-09-26 |
DOI: | 10.32614/CRAN.package.cornet |
Author: | Armin Rauschenberger [aut, cre] |
Maintainer: | Armin Rauschenberger <armin.rauschenberger at uni.lu> |
BugReports: | https://github.com/rauschenberger/cornet/issues |
License: | GPL-3 |
URL: | https://github.com/rauschenberger/cornet, https://rauschenberger.github.io/cornet/ |
NeedsCompilation: | no |
Citation: | cornet citation info |
Materials: | README NEWS |
CRAN checks: | cornet results |
Reference manual: | cornet.pdf |
Vignettes: |
application (source, R code) article (source) simulation (source, R code) vignette (source, R code) |
Package source: | cornet_1.0.0.tar.gz |
Windows binaries: | r-devel: cornet_1.0.0.zip, r-release: cornet_1.0.0.zip, r-oldrel: cornet_1.0.0.zip |
macOS binaries: | r-release (arm64): cornet_1.0.0.tgz, r-oldrel (arm64): cornet_1.0.0.tgz, r-release (x86_64): cornet_1.0.0.tgz, r-oldrel (x86_64): cornet_1.0.0.tgz |
Old sources: | cornet archive |
Reverse imports: | joinet, starnet |
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