print.ranked_contrib_pairs

Make inference in a mixture of discrete Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution of Y chromosomal haplotypes as described in [1, 2] (refer to the URL section).

Mikkel Andersen

disclapmix

Discrete Laplace Mixture Inference using the EM Algorithm

Mikkel Meyer Andersen

Poul Svante Eriksen

print.ranked_contrib_pairs function

<dl><dt>x</dt>
<dd>A <code>ranked_contrib_pairs</code> object.</dd>
<dt>top</dt>
<dd>The top ranked number of pairs to print/plot. <code>NULL</code> for
all.</dd>
<dt>hide_non_varying_loci</dt>
<dd>Whether to hide alleles on loci that do not
vary.</dd>
<dt>...</dt>
<dd>Ignored</dd></dl>

Arguments

Print ranked contributor pairs — print.ranked_contrib_pairs

<dl>

<dt>x</dt>
<dd>A <code>ranked_contrib_pairs</code> object.</dd>


<dt>top</dt>
<dd>The top ranked number of pairs to print/plot. <code>NULL</code> for
all.</dd>


<dt>hide_non_varying_loci</dt>
<dd>Whether to hide alleles on loci that do not
vary.</dd>


<dt>...</dt>
<dd>Ignored</dd>

</dl>

print.ranked_contrib_pairs: Print ranked contributor pairs

Description

Usage

Arguments