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.
An implementation of the full-likelihood Bayes factor (FLB) for evaluating segregation evidence in clinical medical genetics. The method was introduced by Thompson et al. (2003) <doi:10.1086/378100>. This implementation supports custom penetrance values and liability classes, and allows visualisations and robustness analysis as presented in Ratajska et al. (2023) <doi:10.1002/mgg3.2107>. See also the online app 'shinyseg', <https://chrcarrizosa.shinyapps.io/shinyseg>, which offers interactive segregation analysis with many additional features (Carrizosa et al. (2024) <doi:10.1093/bioinformatics/btae201>).
Version: | 0.4.0 |
Depends: | pedtools (≥ 2.2.0), R (≥ 4.1.0) |
Imports: | pedprobr |
Suggests: | testthat |
Published: | 2024-06-28 |
DOI: | 10.32614/CRAN.package.segregatr |
Author: | Magnus Dehli Vigeland [aut, cre], Christian Carrizosa [aut] |
Maintainer: | Magnus Dehli Vigeland <m.d.vigeland at medisin.uio.no> |
BugReports: | https://github.com/magnusdv/segregatr/issues |
License: | GPL-3 |
URL: | https://github.com/magnusdv/segregatr |
NeedsCompilation: | no |
Language: | en-GB |
Citation: | segregatr citation info |
Materials: | README NEWS |
CRAN checks: | segregatr results |
Reference manual: | segregatr.pdf |
Package source: | segregatr_0.4.0.tar.gz |
Windows binaries: | r-devel: segregatr_0.4.0.zip, r-release: segregatr_0.4.0.zip, r-oldrel: segregatr_0.4.0.zip |
macOS binaries: | r-release (arm64): segregatr_0.4.0.tgz, r-oldrel (arm64): segregatr_0.4.0.tgz, r-release (x86_64): segregatr_0.4.0.tgz, r-oldrel (x86_64): segregatr_0.4.0.tgz |
Old sources: | segregatr archive |
Reverse imports: | pedsuite |
Please use the canonical form https://CRAN.R-project.org/package=segregatr 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.