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 + file LICENSE |
| URL: |
https://github.com/ropensci/hdcuremodels |
| NeedsCompilation: |
no |
| Citation: |
hdcuremodels citation info |
| Materials: |
README |
| CRAN checks: |
hdcuremodels results |