Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2022). Such outcomes are not naturally but artificially binary. They indicate whether an underlying measurement is greater than a threshold.
| Version: | 0.0.6 |
| Depends: | R (≥ 3.0.0) |
| Imports: | glmnet, palasso |
| Suggests: | knitr, testthat, rmarkdown |
| Enhances: | RColorBrewer, MASS, mvtnorm |
| Published: | 2022-08-17 |
| 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_0.0.6.tar.gz |
| Windows binaries: | r-devel: cornet_0.0.6.zip, r-release: cornet_0.0.6.zip, r-oldrel: cornet_0.0.6.zip |
| macOS binaries: | r-release (arm64): cornet_0.0.6.tgz, r-oldrel (arm64): cornet_0.0.6.tgz, r-release (x86_64): cornet_0.0.6.tgz, r-oldrel (x86_64): cornet_0.0.6.tgz |
| Old sources: | cornet archive |
| Reverse imports: | joinet, starnet |
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