optimal

Retrieve the index of the optimal probability 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

optimal function

<dl><dt>x</dt>
<dd>An object of class "bayefdr".</dd></dl>

Arguments

Retrieve the index of the optimal probability threshold. — optimal

<dl>

<dt>x</dt>
<dd>An object of class "bayefdr".</dd>

</dl>

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optimal: Retrieve the index of the optimal probability threshold.

Description

Usage

Value

Arguments

Examples