parTimeROC: Parametric Time-Dependent Receiver Operating Characteristic (original) (raw)

Producing the time-dependent receiver operating characteristic (ROC) curve through parametric approaches. Tools for generating random data, fitting, predicting and check goodness of fit are prepared. The methods are developed from the theoretical framework of proportional hazard model and copula functions. Using this package, users can now simulate parametric time-dependent ROC and run experiment to understand the behavior of the curve under different scenario.

Version:

0.2.0

Depends:

R (≥ 3.4.0)

Imports:

cubature, DescTools, flexsurv (≥ 2.2.2), GofCens, graphics, Matrix, methods, moments, mvtnorm, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.4.0), sn (≥ 2.1.1), stats, survival (≥ 3.5.5), VineCopula (≥ 2.4.5)

LinkingTo:

BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)

Suggests:

spelling, testthat (≥ 3.0.0)

Published:

2025-07-11

DOI:

10.32614/CRAN.package.parTimeROC

Author:

Faiz Azhar ORCID iD [aut, cre, cph], Adina Najwa KamarudinORCID iD [cph, ths], Universiti Teknologi Malaysia, UTM [cph], Universiti Malaya, UM [cph]

Maintainer:

Faiz Azhar <faiz.azhar241 at gmail.com>

BugReports:

https://github.com/FaizAzhar/parTimeROC/issues

License:

MIT + file

URL:

https://github.com/FaizAzhar/parTimeROC

NeedsCompilation:

yes

SystemRequirements:

GNU make

Language:

en-US

Materials:

README, NEWS

CRAN checks:

parTimeROC results