title: survival package, right censored data
body: <p>I account for right censored data in the analysis of my dataset. I am using the <code>survival</code> package - given cancer treatment tactics and when the patient last checked in with my clients clinic. </p>
  
  <p>Is there a suggested method or manipulation to the standard <code>survival</code> package to account for <em>right-censored</em> data?</p>
  
  <p>Our rows are unique individual patients...</p>
  
  <p>Here are our columns that are filled out:</p>
  
  <ul>
  <li>List item</li>
  <li>our treatment type (constant)</li>
  <li>days since original diagnosis</li>
  <li>'censored' which is the number of patients who were last heard on this day. Hence, We are          now uncertain if they are still alive or dead seen as they stopped attending the clinic. They should be removed from the probability estimate at all points in future. </li>
  <li># of patients who died on that day (from original diagnosis)</li>
  </ul>
  
  <p>So do you recommend a manipulation of the standard survival package? Or using another package? I have seen <code>survSNP</code>, <code>survPRESMOOTH</code> and <code>survBIVAR</code> that may perhaps help. I want to avoid recalculations of the individual columns/fields and creating new objects of the R algorithm seeing as this is a small part of a very large dataset.</p>