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.
- Version1.0.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- cornet citation info
- Last release09/26/2024
Documentation
Team
Armin Rauschenberger
Insights
Last 30 days
This package has been downloaded 347 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,021 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 27, 2024 with 68 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests9 packages
- Reverse Imports2 packages