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 [aut, cre, cph], Adina Najwa Kamarudin [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 LICENSE URL: https://github.com/FaizAzhar/parTimeROC NeedsCompilation: yes SystemRequirements: GNU make Language: en-US Materials: README NEWS CRAN checks: parTimeROC resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4