Nothing
hdcuremodels: High-Dimensional Cure Models
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.
Browse package contents
Package details |
|
|---|---|
| Author | Han Fu [aut], Kellie J. Archer [aut, cre] (ORCID: <https://orcid.org/0000-0003-1555-5781>), Tung Lam Nguyen [rev] (Reviewed the package for ROpenSci) |
| Maintainer | Kellie J. Archer <archer.43@osu.edu> |
| License | MIT + file LICENSE |
| Version | 0.0.5 |
| URL | https://github.com/kelliejarcher/hdcuremodels |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the hdcuremodels package in your browser
Any scripts or data that you put into this service are public.
