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.

Version: 0.0.1
Depends: R (≥ 4.2.0)
Imports: doParallel, flexsurv, flexsurvcure, foreach, ggplot2, ggpubr, glmnet, knockoff, mvnfast, parallel, plyr, methods, survival
Suggests: knitr, rmarkdown
Published: 2024-06-13
DOI: 10.32614/CRAN.package.hdcuremodels
Author: Han Fu [aut], Kellie J. Archer ORCID iD [aut, cre]
Maintainer: Kellie J. Archer <archer.43 at osu.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: hdcuremodels citation info
CRAN checks: hdcuremodels results


Reference manual: hdcuremodels.pdf
Vignettes: hdcuremodels-vignette


Package source: hdcuremodels_0.0.1.tar.gz
Windows binaries: r-devel: hdcuremodels_0.0.1.zip, r-release: hdcuremodels_0.0.1.zip, r-oldrel: hdcuremodels_0.0.1.zip
macOS binaries: r-release (arm64): hdcuremodels_0.0.1.tgz, r-oldrel (arm64): hdcuremodels_0.0.1.tgz, r-release (x86_64): hdcuremodels_0.0.1.tgz, r-oldrel (x86_64): hdcuremodels_0.0.1.tgz


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