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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>.
Getting started
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Package details |
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| Author | Alan O'Callaghan [aut, cre], Catalina Vallejos [aut] |
| Maintainer | Alan O'Callaghan <alan.ocallaghan@outlook.com> |
| License | GPL-3 |
| Version | 0.2.1 |
| URL | https://github.com/VallejosGroup/bayefdr |
| Package repository | View on CRAN |
| Installation |
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