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.

MonotoneHazardRatio: Nonparametric Estimation and Inference of a Monotone Hazard Ratio Function

Nonparametric estimation and inference of a non-decreasing monotone hazard ratio from a right censored survival dataset. The estimator is based on a generalized Grenander typed estimator, and the inference procedure relies on direct plugin estimation of a first order derivative. More details please refer to the paper "Nonparametric inference under a monotone hazard ratio order" by Y. Wu and T. Westling (2023) <doi:10.1214/23-EJS2173>.

Version: 0.2.0
Depends: R (≥ 2.10)
Imports: fdrtool, KernSmooth, survival
Suggests: testthat (≥ 3.0.0)
Published: 2024-10-22
DOI: 10.32614/CRAN.package.MonotoneHazardRatio
Author: Yujian Wu [aut, cre]
Maintainer: Yujian Wu <yujianwu at umass.edu>
BugReports: https://github.com/Yujian-Wu/MonotoneHazardRatio/issues
License: MIT + file LICENSE
URL: https://github.com/Yujian-Wu/MonotoneHazardRatio
NeedsCompilation: no
Citation: MonotoneHazardRatio citation info
Materials: README NEWS
CRAN checks: MonotoneHazardRatio results

Documentation:

Reference manual: MonotoneHazardRatio.pdf

Downloads:

Package source: MonotoneHazardRatio_0.2.0.tar.gz
Windows binaries: r-devel: MonotoneHazardRatio_0.2.0.zip, r-release: MonotoneHazardRatio_0.2.0.zip, r-oldrel: MonotoneHazardRatio_0.2.0.zip
macOS binaries: r-release (arm64): MonotoneHazardRatio_0.2.0.tgz, r-oldrel (arm64): MonotoneHazardRatio_0.2.0.tgz, r-release (x86_64): MonotoneHazardRatio_0.2.0.tgz, r-oldrel (x86_64): MonotoneHazardRatio_0.2.0.tgz
Old sources: MonotoneHazardRatio archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MonotoneHazardRatio 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.