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: 2026-06-23 08:42:21 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2024-07-01 02:48:30 UTC
RemoteUrl: https://github.com/cran/lincom
RemoteRef: HEAD
RemoteSha: 61ee03649872130b694e68d9e1236c68fe87c6cf