The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

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:

Please use the canonical form https://CRAN.R-project.org/package=hdcuremodels to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.