lincom
Linear Biomarker Combination: Empirical Performance Optimization
Perform two linear combination methods for biomarkers: (1) Empirical performance optimization for specificity (or sensitivity) at a controlled sensitivity (or specificity) level of Huang and Sanda (2022) <doi:10.1214/22-aos2210>, and (2) weighted maximum score estimator with empirical minimization of averaged false positive rate and false negative rate. Both adopt the algorithms of Huang and Sanda (2022) <doi:10.1214/22-aos2210>. 'MOSEK' solver is used and needs to be installed; an academic license for 'MOSEK' is free.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2 |
rolling linux/jammy R-4.5 | lincom_1.2.tar.gz |
42.0 KiB |
1.2 |
rolling linux/noble R-4.5 | lincom_1.2.tar.gz |
42.0 KiB |
1.2 |
rolling source/ R- | lincom_1.2.tar.gz |
10.5 KiB |
1.2 |
latest linux/jammy R-4.5 | lincom_1.2.tar.gz |
42.0 KiB |
1.2 |
latest linux/noble R-4.5 | lincom_1.2.tar.gz |
42.0 KiB |
1.2 |
latest source/ R- | lincom_1.2.tar.gz |
10.5 KiB |
1.2 |
2026-04-26 source/ R- | lincom_1.2.tar.gz |
10.5 KiB |
1.2 |
2026-04-23 source/ R- | lincom_1.2.tar.gz |
10.5 KiB |
1.2 |
2026-04-09 windows/windows R-4.5 | lincom_1.2.zip |
49.9 KiB |
1.2 |
2025-04-20 source/ R- | lincom_1.2.tar.gz |
10.5 KiB |