Bayesian Estimation and Optimisation of Expected False Discovery Rate
The 'nibbles' package.
Plot the cumulative median, mean, and 95% high posterior density regio...
EFDR and EFNR estimation
Bayesian EFDR optimisation.
Retrieve the index of the optimal probability threshold.
Plot the EFDR, EFNR grids of a bayefdr object.
Trace, marginal density histogram, and autocorrelation plot of MCMC dr...
Print methods for bayefdr objects.
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>.
Useful links