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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.
Getting started
Browse package contents
Package details |
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| Author | Han Fu [aut], Kellie J. Archer [aut, cre] (<https://orcid.org/0000-0003-1555-5781>) |
| Maintainer | Kellie J. Archer <archer.43@osu.edu> |
| License | MIT + file LICENSE |
| Version | 0.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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