Package: lincom 1.2

Yijian Huang

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.

Authors:Yijian Huang <[email protected]>

lincom_1.2.tar.gz
lincom_1.2.tar.gz(r-4.5-noble)lincom_1.2.tar.gz(r-4.4-noble)
lincom_1.2.tgz(r-4.4-emscripten)lincom_1.2.tgz(r-4.3-emscripten)
lincom.pdf |lincom.html✨
lincom/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 2 dependencies 179 downloads

Last updated 5 days agofrom:61ee036498

Exports:eumwmse

Dependencies:RmosekSparseM