Package: cornet 1.0.0
cornet: Penalised Regression for Dichotomised Outcomes
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.
Authors:
cornet_1.0.0.tar.gz
cornet_1.0.0.zip(r-4.7-any)cornet_1.0.0.zip(r-4.6-any)cornet_1.0.0.zip(r-4.5-any)
cornet_1.0.0.tgz(r-4.6-any)cornet_1.0.0.tgz(r-4.5-any)
cornet_1.0.0.tar.gz(r-4.7-any)cornet_1.0.0.tar.gz(r-4.6-any)
cornet_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cornet/json (API)
| # Install 'cornet' in R: |
| install.packages('cornet', repos = c('https://rauschenberger.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rauschenberger/cornet/issues
Pkgdown/docs site:https://rauschenberger.github.io
Last updated from:cd95458f51. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 134 | ||
| source / vignettes | OK | 195 | ||
| linux-release | OK | 114 | ||
| macos-release | OK | 415 | ||
| macos-oldrel | OK | 128 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 96 | ||
| windows-oldrel | OK | 93 | ||
| wasm-release | OK | 107 |
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixpalassoRcppRcppEigenshapesurvival
Last update: 2024-09-26
Started: 2019-03-18
Last update: 2024-09-26
Started: 2018-06-14
Last update: 2023-06-02
Started: 2019-09-13
Last update: 2023-06-01
Started: 2019-09-13
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Arguments | .check |
| Equality | .equal |
| Data simulation | .simulate |
| Single-split test | .test |
| Extract estimated coefficients | coef.cornet |
| Combined regression | cornet-package cornet |
| Performance measurement | cv.cornet |
| Plot loss matrix | plot.cornet |
| Predict binary outcome | predict.cornet |
| Combined regression | print.cornet |
