bayefdr
Bayesian Estimation and Optimisation of Expected False Discovery Rate
Implements the Bayesian FDR control described by Newton et al. (2004), <doi:10.1093/biostatistics/5.2.155>. Allows optimisation and visualisation of expected error rates based on tail posterior probability tests. Based on code written by Catalina Vallejos for BASiCS, see Beyond comparisons of means: understanding changes in gene expression at the single-cell level Vallejos et al. (2016) <doi:10.1186/s13059-016-0930-3>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | bayefdr_0.2.1.tar.gz |
69.3 KiB |
0.2.1 |
rolling linux/noble R-4.5 | bayefdr_0.2.1.tar.gz |
69.4 KiB |
0.2.1 |
rolling source/ R- | bayefdr_0.2.1.tar.gz |
48.2 KiB |
0.2.1 |
latest linux/jammy R-4.5 | bayefdr_0.2.1.tar.gz |
69.3 KiB |
0.2.1 |
latest linux/noble R-4.5 | bayefdr_0.2.1.tar.gz |
69.4 KiB |
0.2.1 |
latest source/ R- | bayefdr_0.2.1.tar.gz |
48.2 KiB |
0.2.1 |
2026-04-26 source/ R- | bayefdr_0.2.1.tar.gz |
48.2 KiB |
0.2.1 |
2026-04-23 source/ R- | bayefdr_0.2.1.tar.gz |
48.2 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | bayefdr_0.2.1.zip |
73.1 KiB |
0.2.1 |
2025-04-20 source/ R- | bayefdr_0.2.1.tar.gz |
48.2 KiB |