Package: segregatr 0.4.0

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_0.4.0.tar.gz
segregatr_0.4.0.zip(r-4.5)segregatr_0.4.0.zip(r-4.4)segregatr_0.4.0.zip(r-4.3)
segregatr_0.4.0.tgz(r-4.4-any)segregatr_0.4.0.tgz(r-4.3-any)
segregatr_0.4.0.tar.gz(r-4.5-noble)segregatr_0.4.0.tar.gz(r-4.4-noble)
segregatr_0.4.0.tgz(r-4.4-emscripten)segregatr_0.4.0.tgz(r-4.3-emscripten)
segregatr.pdf |segregatr.html✨
segregatr/json (API)
NEWS

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

Peer review:

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

On CRAN:

4.03 score 3 stars 1 packages 12 scripts 213 downloads 2 exports 12 dependencies

Last updated 5 months agofrom:a93e9e2963. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winOKOct 26 2024
R-4.5-linuxOKOct 26 2024
R-4.4-winOKOct 26 2024
R-4.4-macOKOct 26 2024
R-4.3-winOKOct 26 2024
R-4.3-macOKOct 26 2024

Exports:FLBplotSegregation

Dependencies:evaluatehighrkinship2knitrlatticeMatrixpedmutpedprobrpedtoolsquadprogxfunyaml