title: Error in missing value imputation using MICE package
body: <p>I have a huge data <code>(4M x 17)</code> that has missing values. Two columns are categorical, rest all are numerical. I want to use MICE package for missing value imputation. This is what I tried:</p>
  
  <pre><code>&gt; testMice &lt;- mice(myData[1:100000,]) # runs fine  
  &gt; testTot &lt;- predict(testMice, myData)
  Error in UseMethod("predict") : 
    no applicable method for 'predict' applied to an object of class "mids"
  </code></pre>
  
  <p>Running the imputation on whole dataset was computationally expensive, so I ran it on only the first 100K observations. Then I am trying to use the output to impute the whole data. </p>
  
  <p>Is there anything wrong with my approach? If yes, what should I do to make it correct? If no, then why am I getting this error?</p>