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>.
| 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 |
Documentation:
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