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ROCSI  

Receiver Operating Characteristic Based Signature Identification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ROCSI", "0.1.0")



Attach the package and use:
library("ROCSI")
Maintained by
Xin Huang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-24
Latest Update: 2022-08-24
Description:
Optimal linear combination predictive signatures for maximizing the area between two Receiver Operating Characteristic (ROC) curves (treatment vs. control).
How to cite:
Xin Huang (2022). ROCSI: Receiver Operating Characteristic Based Signature Identification. R package version 0.1.0, https://cran.r-project.org/web/packages/ROCSI. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ROCSI R package
View ROCSI citation profile
Other R packages that ROCSI depends, imports, suggests or enhances
Complete documentation for ROCSI
Functions, R codes and Examples using the ROCSI R package
Some associated functions: AUC . C.index . HIC . MClogit . ROCSI . beta2theta . cvfolds0 . data.gen . grad.sub . gradsqr . hessAUC . hessAUC.sub . pair.diff . pair.diff.surv . theta2beta . 
Some associated R codes: ROCSI.R .  Full ROCSI package functions and examples
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