OptHoldoutSize
Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score
Predictive scores must be updated with care, because actions taken on the basis of existing risk scores causes bias in risk estimates from the updated score. A holdout set is a straightforward way to manage this problem: a proportion of the population is 'held-out' from computation of the previous risk score. This package provides tools to estimate a size for this holdout set and associated errors. Comprehensive vignettes are included. Please see: Haidar-Wehbe S, Emerson SR, Aslett LJM, Liley J (2022) doi:10.48550/arXiv.2202.06374 for details of methods.
- Version0.1.0.0
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release02/18/2022
Documentation
Team
James Liley
Louis Aslett
Show author detailsRolesAuthorSami Haidar-Wehbe
Show author detailsRolesAuthorSam Emerson
Insights
Last 30 days
This package has been downloaded 161 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 13 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 2,124 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 11, 2024 with 26 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
- Depends5 packages
- Suggests2 packages