segregatr

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).

Last 30 days

This package has been downloaded 212 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,718 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 145 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.