rearrange_output_mix

Arrange the output of the object of class <code>"emMSmix"</code> according to a given relabelling of the mixture component labels.

Fit and analysis of finite Mixtures of Mallows models with Spearman Distance for full and partial rankings with arbitrary missing positions. Inference is conducted within the maximum likelihood framework via Expectation-Maximization algorithms. Estimation uncertainty is tackled via diverse versions of bootstrapped and asymptotic confidence intervals. The most relevant reference of the methods is Crispino, Mollica, Astuti and Tardella (2023) <doi:10.1007/s11222-023-10266-8>.

Cristina Mollica

MSmix

Finite Mixtures of Mallows Models with Spearman Distance for
Full and Partial Rankings

Marta Crispino

Lucia Modugno

Luca Tardella

rearrange_output_mix function

<dl><dt>output</dt>
<dd>An object of class <code>"emMSmix"</code> returned by <code>fitMSmix</code>.</dd>
<dt>ord</dt>
<dd>Integer vector of length <code>n_clust</code> with the desired relabelling of the mixture component labels.</dd></dl>

Arguments

Arrange the output of MLE of mixtures of Mallows models with Spearman distance via EM algorithms — rearrange_output_mix

<dl>

<dt>output</dt>
<dd>An object of class <code>"emMSmix"</code> returned by <code>fitMSmix</code>.</dd>


<dt>ord</dt>
<dd>Integer vector of length <code>n_clust</code> with the desired relabelling of the mixture component labels.</dd>

</dl>

rearrange_output_mix: Arrange the output of MLE of mixtures of Mallows models with Spearman distance via EM algorithms

Description

Usage

Arguments