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lincom  

Linear Biomarker Combination: Empirical Performance Optimization
View on CRAN: Click here


Download and install lincom package within the R console
Install from CRAN:
install.packages("lincom")

Install from Github:
library("remotes")
install_github("cran/lincom")

Install by package version:
library("remotes")
install_version("lincom", "1.2")



Attach the package and use:
library("lincom")
Maintained by
Yijian Huang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-07
Latest Update: 2024-06-30
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) , 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.
How to cite:
Yijian Huang (2023). lincom: Linear Biomarker Combination: Empirical Performance Optimization. R package version 1.2, https://cran.r-project.org/web/packages/lincom. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:53), 1.0 (2023-04-07 10:40), 1.1 (2023-06-21 17:30)
Other packages that cited lincom R package
View lincom citation profile
Other R packages that lincom depends, imports, suggests or enhances
Complete documentation for lincom
Functions, R codes and Examples using the lincom R package
Some associated functions: eum . wmse . 
Some associated R codes: eum.R . wmse.R .  Full lincom package functions and examples
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