bayefdr: Bayesian Estimation and Optimisation of Expected False DiscoveryRate
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>.
| Version: | 0.2.1 |
| Imports: | ggplot2,reshape2,assertthat, utils,cowplot,ggExtra, stats |
| Suggests: | testthat,pkgdown |
| Published: | 2022-10-26 |
| DOI: | 10.32614/CRAN.package.bayefdr |
| Author: | Alan O'Callaghan [aut, cre], Catalina Vallejos [aut] |
| Maintainer: | Alan O'Callaghan <alan.ocallaghan at outlook.com> |
| BugReports: | https://github.com/VallejosGroup/bayefdr/issues |
| License: | GPL-3 |
| URL: | https://github.com/VallejosGroup/bayefdr |
| NeedsCompilation: | no |
| Language: | en-gb |
| Materials: | README,NEWS |
| In views: | Bayesian,Omics |
| CRAN checks: | bayefdr results |
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