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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | SCORNET_0.1.1.tar.gz |
77.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | SCORNET_0.1.1.tar.gz |
77.9 KiB |
0.1.1 |
rolling source/ R- | SCORNET_0.1.1.tar.gz |
32.7 KiB |
0.1.1 |
latest linux/jammy R-4.5 | SCORNET_0.1.1.tar.gz |
77.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | SCORNET_0.1.1.tar.gz |
77.9 KiB |
0.1.1 |
latest source/ R- | SCORNET_0.1.1.tar.gz |
32.7 KiB |
0.1.1 |
2026-04-26 source/ R- | SCORNET_0.1.1.tar.gz |
32.7 KiB |
0.1.1 |
2026-04-23 source/ R- | SCORNET_0.1.1.tar.gz |
32.7 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | SCORNET_0.1.1.zip |
398.7 KiB |
0.1.1 |
2025-04-20 source/ R- | SCORNET_0.1.1.tar.gz |
32.7 KiB |