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.
Version: |
1.1 |
Depends: |
R (≥ 3.6.0) |
Imports: |
SparseM, Matrix, Rmosek, methods, stats |
Suggests: |
knitr, rmarkdown |
Published: |
2023-06-21 |
Author: |
Yijian Huang |
Maintainer: |
Yijian Huang <yhuang5 at emory.edu> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
yes |
SystemRequirements: |
MOSEK (>= 6), MOSEK License (>= 6) |
CRAN checks: |
lincom results |
Documentation:
Downloads:
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