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hdcuremodels: Penalized Mixture Cure Models for High-Dimensional Data
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: |
0.0.1 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
doParallel, flexsurv, flexsurvcure, foreach, ggplot2, ggpubr, glmnet, knockoff, mvnfast, parallel, plyr, methods, survival |
| Suggests: |
knitr, rmarkdown |
| Published: |
2024-06-13 |
| DOI: |
10.32614/CRAN.package.hdcuremodels |
| Author: |
Han Fu [aut],
Kellie J. Archer 
[aut, cre] |
| Maintainer: |
Kellie J. Archer <archer.43 at osu.edu> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Citation: |
hdcuremodels citation info |
| CRAN checks: |
hdcuremodels results |
Documentation:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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