Package: lincom
Version: 1.2
Date: 2024-06-30
Title: Linear Biomarker Combination: Empirical Performance Optimization
Author: Yijian Huang <yhuang5@emory.edu>
Maintainer: Yijian Huang <yhuang5@emory.edu>
Depends: R (>= 3.6.0)
Imports: SparseM, Rmosek, methods, stats
SystemRequirements: MOSEK (>= 6), MOSEK License (>= 6)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: 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.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2024-06-30 23:09:40 UTC; eugene
Repository: CRAN
Date/Publication: 2024-06-30 23:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 20:02:38 UTC; unix
Archs: lincom.so.dSYM
