The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.

penetrance: Methods for Penetrance Estimation in Family-Based Studies

Implements statistical methods for estimating disease penetrance in family-based studies. Penetrance refers to the probability of diseaseĀ§ manifestation in individuals carrying specific genetic variants. The package provides tools for age-specific penetrance estimation, handling missing data, and accounting for ascertainment bias in family studies. Cite as: Kubista, N., Braun, D. & Parmigiani, G. (2024) <doi:10.48550/arXiv.2411.18816>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: clipp, stats, parallel, MASS, kinship2 (≥ 1.8.5), graphics, grDevices
Suggests: knitr, rmarkdown, scales, ggplot2, roxygen2, testthat (≥ 3.0.0)
Published: 2025-03-03
DOI: 10.32614/CRAN.package.penetrance
Author: Nicolas Kubista [aut, cre], BayesMendel Lab [aut]
Maintainer: Nicolas Kubista <bmendel at jimmy.harvard.edu>
License: GPL-3
URL: https://github.com/nicokubi/penetrance, https://nicokubi.github.io/penetrance/
NeedsCompilation: no
SystemRequirements: C++11
Materials: README
CRAN checks: penetrance results

Documentation:

Reference manual: penetrance.pdf
Vignettes: Simulation Study with penetrance (source, R code)
Simulation study from empirical data with penetrance (source, R code)
Penetrance Estimation with penetrance (source, R code)

Downloads:

Package source: penetrance_0.1.0.tar.gz
Windows binaries: r-devel: penetrance_0.1.0.zip, r-release: penetrance_0.1.0.zip, r-oldrel: penetrance_0.1.0.zip
macOS binaries: r-devel (arm64): penetrance_0.1.0.tgz, r-release (arm64): penetrance_0.1.0.tgz, r-oldrel (arm64): penetrance_0.1.0.tgz, r-devel (x86_64): penetrance_0.1.0.tgz, r-release (x86_64): penetrance_0.1.0.tgz, r-oldrel (x86_64): penetrance_0.1.0.tgz

Linking:

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