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:Armin Rauschenberger [aut, cre]

cornet_1.0.0.tar.gz
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cornet.pdf |cornet.html✨
cornet/json (API)
NEWS

# Install 'cornet' in R:
install.packages('cornet', repos = c('https://rauschenberger.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rauschenberger/cornet/issues

On CRAN:

5.97 score 2 stars 3 packages 13 scripts 679 downloads 2 exports 11 dependencies

Last updated 2 months agofrom:cd95458f51. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winOKOct 26 2024
R-4.5-linuxOKOct 26 2024
R-4.4-winOKOct 26 2024
R-4.4-macOKOct 26 2024
R-4.3-winOKOct 26 2024
R-4.3-macOKOct 26 2024

Exports:cornetcv.cornet

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixpalassoRcppRcppEigenshapesurvival

reproducibility - application

Rendered fromapplication.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2023-06-02
Started: 2019-09-13

Article

Rendered fromarticle.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2024-09-26
Started: 2019-03-18

reproducibility - simulation

Rendered fromsimulation.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2023-06-01
Started: 2019-09-13

Combined Regression

Rendered fromvignette.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2024-09-26
Started: 2018-06-14