title: drawing data from a skew normal distribution using the sn package in R
body: <p>I need to characterize the location, shape, and scale of a skew normal distribution of data, and then use these parameters to draw values randomly from a skew-normal distribution with the same parameters. In the past I did this using the <code>sn</code> package in R. So, for example, if I had a vector of data, <code>v</code>, that follows a skew-normal distribution, I would estimate the location, shape and scale using the <code>sn.em</code> function:</p>
  
  <pre><code>require(sn)
  data(ais)
  v &lt;- ais$Fe
  sn.em(,v)
  </code></pre>
  
  <p>I would then draw randomly from a skew-normal dsitrubtion with the same parameters using the <code>rsnorm</code> function:</p>
  
  <pre><code>rsnorm(100, shape = x, location = y, scale = z)
  </code></pre>
  
  <p><strong>Both of these functions no longer exist in the <code>sn</code> package.</strong> How can I do this with either different functions in the <code>sn</code> package or a different pacakge all together?</p>