</dd>

      <dt><code>posterior</code></dt>
<dd><p>A data frame of summary results (posterior
        means, standard deviations, second moments, and local false sign
        rates).</p></dd>

      <dt><code>fitted_g</code></dt>
<dd><p>The fitted prior \(\hat{g}\).</p></dd>

      <dt><code>log_likelihood</code></dt>
<dd><p>The optimal log likelihood attained,
        \(L(\hat{g})\).</p></dd>

      <dt><code>posterior_sampler</code></dt>
<dd><p>A function that can be used to
        produce samples from 