multiridge
Fast Cross-Validation for Multi-Penalty Ridge Regression
Multi-penalty linear, logistic and cox ridge regression, including estimation of the penalty parameters by efficient (repeated) cross-validation and marginal likelihood maximization. Multiple high-dimensional data types that require penalization are allowed, as well as unpenalized variables. Paired and preferential data types can be specified. See Van de Wiel et al. (2021), doi:10.48550/arXiv.2005.09301.
- Version1.11
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release06/13/2022
Documentation
Team
Mark A. van de Wiel
Insights
Last 30 days
This package has been downloaded 184 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 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 2,388 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 25, 2024 with 39 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
- Depends4 packages
- Reverse Imports2 packages