plot1DSigWindows

Selects representative-tree windows whose posterior alternative
probabilities satisfy a requested Bayesian false discovery rate, then
displays them with <code>plot1D</code>.

Implements the multi-resolution scanning (MRS) method for
cross-sample distribution comparisons, as described in Soriano and Ma (2017)
<doi:10.1111/rssb.12180>, and the analysis of distributional variation
(ANDOVA) method for cross-group comparisons introduced in Ma and Soriano
(2018) <doi:10.1080/10618600.2017.1402774>. Both methods use nonparametric
models on multi-resolution partition trees to detect and characterize
differences among distributions, with tools for visualizing the results.

Li Ma

Multi-Resolution Scanning for Cross-Sample and Cross-Group
Differences

Jacopo Soriano

plot1DSigWindows function

<dl><dt>ans_mrs</dt>
<dd>An <code>mrs</code> object.</dd>
<dt>fdr</dt>
<dd>Desired Bayesian false discovery rate between zero and one.</dd>
<dt>precision</dt>
<dd>Step size used to search posterior-probability thresholds.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>plot1D</code>.</dd></dl>

Arguments

Plot one-dimensional windows selected by Bayesian FDR — plot1DSigWindows

<dl>

<dt>ans_mrs</dt>
<dd>An <code>mrs</code> object.</dd>


<dt>fdr</dt>
<dd>Desired Bayesian false discovery rate between zero and one.</dd>


<dt>precision</dt>
<dd>Step size used to search posterior-probability thresholds.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>plot1D</code>.</dd>

</dl>

plot1DSigWindows: Plot one-dimensional windows selected by Bayesian FDR

Description

Usage

Value

Arguments