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) , 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) . 'MOSEK' solver is used and needs to be installed; an academic license for 'MOSEK' is free.


Reference manual

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install.packages("lincom")

1.2 by Yijian Huang, 2 years ago


Browse source code at https://github.com/cran/lincom


Authors: Yijian Huang <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports SparseM, Rmosek, methods, stats

Suggests knitr, rmarkdown

System requirements: MOSEK (>= 6), MOSEK License (>= 6)


See at CRAN