SCORNET
Semi-Supervised Calibration of Risk with Noisy Event Times
A consistent, semi-supervised, non-parametric survival curve estimator optimized for efficient use of Electronic Health Record (EHR) data with a limited number of current status labels. See van der Laan and Robins (1997) doi:10.2307/2670119.
- Version0.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/04/2021
Documentation
Team
Yuri Ahuja
Insights
Last 30 days
This package has been downloaded 131 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 1,643 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jan 22, 2025 with 29 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
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Dependencies
- Imports6 packages
- Suggests2 packages
- Linking To2 packages