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.

Package details

AuthorHan Fu [aut], Kellie J. Archer [aut, cre] (<https://orcid.org/0000-0003-1555-5781>)
MaintainerKellie J. Archer <archer.43@osu.edu>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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hdcuremodels documentation built on June 22, 2024, 10:17 a.m.