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intcensROC  

AUC Estimation of Interval Censored Survival Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("intcensROC", "0.1.3")



Attach the package and use:
library("intcensROC")
Maintained by
Yuan Wu
[Scholar Profile | Author Map]
First Published: 2018-05-02
Latest Update: 2021-06-15
Description:
The kernel of this 'Rcpp' based package is an efficient implementation of the generalized gradient projection method for spline function based constrained maximum likelihood estimator for interval censored survival data (Wu, Yuan; Zhang, Ying. Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data. Ann. Statist. 40, 2012, 1609-1636 ). The key function computes the density function of the joint distribution of event time and the marker and returns the receiver operating characteristic (ROC) curve for the interval censored survival data as well as area under the curve (AUC).
How to cite:
Yuan Wu (2018). intcensROC: AUC Estimation of Interval Censored Survival Data. R package version 0.1.3, https://cran.r-project.org/web/packages/intcensROC. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1.1 (2018-05-02 22:27), 0.1.2 (2020-11-12 22:50), 0.1 (2018-05-02 21:15)
Other packages that cited intcensROC R package
View intcensROC citation profile
Other R packages that intcensROC depends, imports, suggests or enhances
Complete documentation for intcensROC
Functions, R codes and Examples using the intcensROC R package
Some associated functions: intcensAUC . intcensROC-package . intcensROC . 
Some associated R codes: intcensAUC.R . intcensROC.R .  Full intcensROC package functions and examples
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