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cenROC
View on CRAN: Click
here
Download and install cenROC package within the R console
Install from CRAN:
install.packages("cenROC")
Install from Github:
library("remotes")
install_github("cran/cenROC") Install by package version:
library("remotes")
install_version("cenROC", "2.0.0") Attach the package and use:
library("cenROC")
Maintained by
Kassu Mehari Beyene
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-30
Latest Update: 2023-03-27
Description:
Contains functions to estimate a smoothed and a non-smoothed (empirical) time-dependent
receiver operating characteristic curve and the corresponding area under the receiver
operating characteristic curve and the optimal cutoff point for the right and interval
censored survival data. See Beyene and El Ghouch (2020) and Beyene
and El Ghouch (2022) .
How to cite:
Kassu Mehari Beyene (2020). cenROC: Estimating Time-Dependent ROC Curve and AUC for Censored Data. R package version 2.0.0, https://cran.r-project.org/web/packages/cenROC. Accessed 04 Jun. 2026.
Other packages that cited cenROC R package
View cenROC citation profile
Other R packages that cenROC depends,
imports, suggests or enhances
Complete documentation for cenROC
Functions, R codes and Examples using
the cenROC R package
Some associated functions: CV . Csurv . ICsur . IntROC . NR . PI . RocFun . cenROC . condS . dnorkernel . hds . integ . ker_dis_i . kfunc . kfunction . mayo . muro . wIQR . wbw . wquantile . wvar . youden .
Some associated R codes: IntROC.R . RcppExports.R . bw.R . cenROC.R . data.R . youden.R . zzzz.R . Full cenROC package functions and examples
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