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: | 0.1.0 |
| Imports: | ggplot2, reshape2, assertthat, utils, stats |
| Suggests: | testthat |
| Published: | 2020-07-30 |
| 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 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | bayefdr results |
| Reference manual: | bayefdr.pdf |
| Package source: | bayefdr_0.1.0.tar.gz |
| Windows binaries: | r-devel: bayefdr_0.1.0.zip, r-release: bayefdr_0.1.0.zip, r-oldrel: bayefdr_0.1.0.zip |
| macOS binaries: | r-release: bayefdr_0.1.0.tgz, r-oldrel: bayefdr_0.1.0.tgz |
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