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: |
0.1.1 |
| 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: |
2025-04-11 |
| Author: |
Faiz Azhar  [aut,
cre, cph],
Adina Najwa Kamarudin
[cph, ths],
Universiti Teknologi Malaysia, UTM [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 results |