efdr

efnr

Calculate the Expected False Discovery Rate (EFDR) or Expected False 
Negative Rate (EFNR) in a vector of probabilities, given a specified
evidence threshold.

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>.

Alan O'Callaghan

bayefdr

Bayesian Estimation and Optimisation of Expected False Discovery
Rate

Catalina Vallejos

efdr function

<dl><dt>evidence_threshold</dt>
<dd>Scalar value specifying the evidence threshold
at which the EFDR or EFNR should be evaluated.</dd>
<dt>probs</dt>
<dd>Vector of probabilities.</dd></dl>

Arguments

EFDR and EFNR estimation — efdr

<dl>

<dt>evidence_threshold</dt>
<dd>Scalar value specifying the evidence threshold
at which the EFDR or EFNR should be evaluated.</dd>


<dt>probs</dt>
<dd>Vector of probabilities.</dd>

</dl>

efdr: EFDR and EFNR estimation

Description

Usage

Arguments