hdcuremodels-package: hdcuremodels: High-Dimensional Cure Models

hdcuremodels-packageR Documentation

hdcuremodels: High-Dimensional Cure Models

Description

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)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/sim.9513")} and Archer et al (2024)\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/s13045-024-01553-6")}. False discovery rate controlled variable selection is provided using model-X knock-offs.

Author(s)

Maintainer: Kellie J. Archer archer.43@osu.edu (ORCID)

Authors:

  • Han Fu

Other contributors:

See Also

Useful links:


hdcuremodels documentation built on Dec. 4, 2025, 1:07 a.m.