Provides functions for fitting various penalized parametric and semi-parametric mixture cure models with different penalty functions, testing for a significant cure fraction, and testing for sufficient follow-up as described in Fu et al (2022)<doi:10.1002/sim.9513> and Archer et al (2024)<doi:10.1186/s13045-024-01553-6>. False discovery rate controlled variable selection is provided using model-X knock-offs.
| Version: | 0.0.6 |
| Depends: | R (≥ 4.2.0) |
| Imports: | doParallel,flexsurv,flexsurvcure,foreach,ggplot2,ggpubr,glmnet,knockoff,mvnfast, parallel,plyr, methods,survival,withr |
| Suggests: | knitr,Rdsdp,rmarkdown,roxygen2,testthat (≥ 3.0.0) |
| Published: | 2025-12-03 |
| DOI: | 10.32614/CRAN.package.hdcuremodels |
| Author: | Han Fu [aut], Kellie J. Archer [aut, cre], Tung Lam Nguyen [rev] (Reviewed the package for ROpenSci), Panagiotis Papastamoulis [rev] (Reviewed the package for ROpenSci) |
| Maintainer: | Kellie J. Archer <archer.43 at osu.edu> |
| BugReports: | https://github.com/ropensci/hdcuremodels/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/ropensci/hdcuremodels |
| NeedsCompilation: | no |
| Citation: | hdcuremodels citation info |
| Materials: | README |
| CRAN checks: | hdcuremodels results |