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 [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

Documentation:

Reference manual:	hdcuremodels.pdf
Vignettes:	hdcuremodels-vignette

Downloads:

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

Linking:

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