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)[https://doi.org/10.1002%2Fsim.9513] and Archer et al (2024)[https://doi.org/10.1186%2Fs13045-024-01553-6]. False discovery rate controlled variable selection is provided using model-X knock-offs.
- Version0.0.1
- R versionunknown
- LicenseMIT
- Needs compilation?No
- hdcuremodels citation info
- Last release06/13/2024
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Team
Kellie J. Archer
Han Fu
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- Imports11 packages
- Suggests2 packages