Package: segregatr 0.5.0

Magnus Dehli Vigeland

segregatr: Segregation Analysis for Variant Interpretation

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>).

Authors:Magnus Dehli Vigeland [aut, cre], Christian Carrizosa [aut]

segregatr_0.5.0.tar.gz
segregatr_0.5.0.zip(r-4.7)segregatr_0.5.0.zip(r-4.6)segregatr_0.5.0.zip(r-4.5)
segregatr_0.5.0.tgz(r-4.6-any)segregatr_0.5.0.tgz(r-4.5-any)
segregatr_0.5.0.tar.gz(r-4.7-any)segregatr_0.5.0.tar.gz(r-4.6-any)
segregatr_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
segregatr/json (API)
NEWS

# Install 'segregatr' in R:

install.packages('segregatr', repos = c('https://magnusdv.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/magnusdv/segregatr/issues

On CRAN:

medical-genetics pedigree-analysis pedsuite segregation-analysis variant-interpretation

3.73 score 3 stars 1 packages 12 scripts 160 downloads 3 exports 13 dependencies

Last updated from:1674c50a3f. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	124
source / vignettes	OK	137
linux-release-x86_64	OK	229
macos-release-arm64	OK	109
macos-oldrel-arm64	OK	118
windows-devel	OK	83
windows-release	OK	82
windows-oldrel	OK	161
wasm-release	OK	113