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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.
Version: | 0.0.9 |
Depends: | R (≥ 3.0.0) |
Imports: | glmnet, palasso |
Suggests: | knitr, testthat, rmarkdown |
Enhances: | RColorBrewer, MASS, mvtnorm, randomForest, xgboost, MLmetrics |
Published: | 2023-08-11 |
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 |
NeedsCompilation: | no |
Language: | en-GB |
Materials: | README NEWS |
CRAN checks: | cornet results |
Reference manual: | cornet.pdf |
Vignettes: |
application article simulation vignette |
Package source: | cornet_0.0.9.tar.gz |
Windows binaries: | r-devel: cornet_0.0.9.zip, r-release: cornet_0.0.9.zip, r-oldrel: cornet_0.0.9.zip |
macOS binaries: | r-release (arm64): cornet_0.0.9.tgz, r-oldrel (arm64): cornet_0.0.9.tgz, r-release (x86_64): cornet_0.0.9.tgz, r-oldrel (x86_64): cornet_0.0.9.tgz |
Old sources: | cornet archive |
Reverse imports: | joinet, starnet |
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These binaries (installable software) and packages are in development.
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