pencal
Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival
Computes penalized regression calibration (PRC), a statistical method for the dynamic prediction of survival when many longitudinal predictors are available. PRC is described in Signorelli (2024) doi:10.48550/arXiv.2309.15600 and in Signorelli et al. (2021) doi:10.1002/sim.9178.
- Version2.2.3
- R versionR (≥ 4.1.0)
- LicenseGPL (≥ 3)
- Needs compilation?No
- pencal citation info
- Last release02/07/2025
Documentation
Team
Mirko Signorelli
MaintainerShow author detailsRoula Tsonaka
Show author detailsRolesContributorBarbara Vreede
Show author detailsRolesContributorPietro Spitali
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 426 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 15 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 7,896 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Sep 11, 2024 with 103 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
- Imports13 packages
- Suggests4 packages