e>pars[2]</code>, is smaller than
<code>eps</code> then we approximate the <code>[2, 2]</code> element using a Taylor
series expansion in \(\xi\), evaluated up to and including the
<code>m</code>th term.</p></dd>

</dl></div>
    <div id="value">
    <h2>Value</h2>
    

<p>An \(n \times k\) matrix containing contributions
  to the score function from \(n\) observations for each of the \(k\)</p>


<p>parameters.</p>
<p></p>
<p><code>estfun.Bernoulli</code>: an \(n \times 2\) matrix, where</p>
<p></p>
<p>\(n