modes

modes.seqre_result

modes.grideval_result

n_modes

Extracts the modes from a <code>copre_result</code> or <code>seqre_result</code>
object.

Performs Bayesian nonparametric density estimation using Martingale
posterior distributions including the Copula Resampling (CopRe) algorithm.
Also included are a Gibbs sampler for the marginal Gibbs-type mixture model and
an extension to include full uncertainty quantification via a predictive
sequence resampling (SeqRe) algorithm. The CopRe and SeqRe samplers generate
random nonparametric distributions as output, leading to complete nonparametric
inference on posterior summaries. Routines for calculating arbitrary
functionals from the sampled distributions are included as well as an important
algorithm for finding the number and location of modes, which can then be used
to estimate the clusters in the data using, for example, k-means.
Implements work developed in Moya B., Walker S. G. (2022).
<doi:10.48550/arxiv.2206.08418>, Fong, E., Holmes, C., Walker, S. G. (2021)
<doi:10.48550/arxiv.2103.15671>, and Escobar M. D., West, M. (1995)
<doi:10.1080/01621459.1995.10476550>.

Blake Moya

copre

Tools for Nonparametric Martingale Posterior Sampling

The University of Texas at Austin 

modes function

<dl><dt>obj</dt>
<dd>A <code>copre_result</code> or <code>seqre_result</code> object.</dd>
<dt>mean</dt>
<dd>A logical value indicating whether to count the modes of the mean
density of each of the individual sampled density.</dd>
<dt>grd</dt>
<dd>For <code>seqre_result</code>, a grid on which to evaluate the object.</dd>
<dt>idx</dt>
<dd>A logical value indicating whether to also return the index within
<code>grd</code> of the discovered modes.</dd>
<dt>anti</dt>
<dd>A logical value indicating whether to extract true modes or
anti-modes (i.e. local minima of the density function).</dd></dl>

Arguments

<ul>
<li><code>modes(seqre_result)</code>: Mode-counting method for <code>seqre_result</code> objects.</li>
<li><code>modes(grideval_result)</code>: Mode-counting method for <code>grideval_result</code> objects.</li>
</ul>

Methods (by class)

<ul>
<li><code>n_modes()</code>: Counts the modes from a <code>copre_result</code> or <code>seqre_result</code>
object.</li>
</ul>

Functions

Mode Extractor — modes

<dl>

<dt>obj</dt>
<dd>A <code>copre_result</code> or <code>seqre_result</code> object.</dd>


<dt>mean</dt>
<dd>A logical value indicating whether to count the modes of the mean
density of each of the individual sampled density.</dd>


<dt>grd</dt>
<dd>For <code>seqre_result</code>, a grid on which to evaluate the object.</dd>


<dt>idx</dt>
<dd>A logical value indicating whether to also return the index within
<code>grd</code> of the discovered modes.</dd>


<dt>anti</dt>
<dd>A logical value indicating whether to extract true modes or
anti-modes (i.e. local minima of the density function).</dd>

</dl>

modes: Mode Extractor

Description

Usage

Value

Arguments

Methods (by class)

Functions