crossurr
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebaut R & Parast L (2022). "Doubly robust evaluation of high-dimensional surrogate markers", Biostatistics <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine how much of the overall treatment effect is explained by a (possibly high-dimensional) set of surrogate markers.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.2 |
rolling linux/jammy R-4.5 | crossurr_1.1.2.tar.gz |
94.2 KiB |
1.1.2 |
rolling linux/noble R-4.5 | crossurr_1.1.2.tar.gz |
94.2 KiB |
1.1.2 |
rolling source/ R- | crossurr_1.1.2.tar.gz |
39.0 KiB |
1.1.2 |
latest linux/jammy R-4.5 | crossurr_1.1.2.tar.gz |
94.2 KiB |
1.1.2 |
latest linux/noble R-4.5 | crossurr_1.1.2.tar.gz |
94.2 KiB |
1.1.2 |
latest source/ R- | crossurr_1.1.2.tar.gz |
39.0 KiB |
1.1.2 |
2026-04-26 source/ R- | crossurr_1.1.2.tar.gz |
39.0 KiB |
1.1.2 |
2026-04-23 source/ R- | crossurr_1.1.2.tar.gz |
39.0 KiB |
1.1.2 |
2026-04-09 windows/windows R-4.5 | crossurr_1.1.2.zip |
97.2 KiB |
1.1.2 |
2025-04-20 source/ R- | crossurr_1.1.2.tar.gz |
39.0 KiB |