cumplot

Plot the cumulative median, mean, and 95% high posterior density region.

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

cumplot function

<dl><dt>x</dt>
<dd>An vector of MCMC draws.</dd>
<dt>ylab</dt>
<dd>An optional y-axis label.</dd>
<dt>burn</dt>
<dd>Integer specifying the number of initial iterations to be
discarded.</dd>
<dt>thin</dt>
<dd>Integer specifying the thinning factor to be used on
the MCMC steps.</dd>
<dt>hpd_level</dt>
<dd>Floating point specifying the desired HPD level.</dd></dl>

Arguments

Plot the cumulative median, mean, and 95% high posterior density region. — cumplot

<dl>

<dt>x</dt>
<dd>An vector of MCMC draws.</dd>


<dt>ylab</dt>
<dd>An optional y-axis label.</dd>


<dt>burn</dt>
<dd>Integer specifying the number of initial iterations to be
discarded.</dd>


<dt>thin</dt>
<dd>Integer specifying the thinning factor to be used on
the MCMC steps.</dd>


<dt>hpd_level</dt>
<dd>Floating point specifying the desired HPD level.</dd>

</dl>

cumplot: Plot the cumulative median, mean, and 95% high posterior density region.

Description

Usage

Value

Arguments

Examples