title: Logistic Regression in R (SAS-like output)
body: <p>I have a problem at hand which I'd think is fairly common amongst
  groups were R is being adopted for Analytics in place of SAS.
  Users would like to obtain results for logistic regression in R that
  they have become accustomed to in SAS.</p>
  
  <p>Towards this end, I was able to propose the Design package in R which
  contains many functions to extract the various metrics that SAS
  reports.</p>
  
  <p>If you have suggestions pertaining to other packages, or sample code
  that replicates some of the SAS outputs for logistic regression, I
  would be glad to hear of them.</p>
  
  <p>Some of the requirements are:</p>
  
  <ul>
  <li><p>Stepwise variable selection for logistic regression</p></li>
  <li><p>Choose base level for factor variables</p></li>
  <li><p>The Hosmer-Lemeshow statistic</p></li>
  <li><p>concordant and discordant</p></li>
  <li><p>Tau C statistic</p></li>
  </ul>
  
  <p>Thank you for your suggestions.</p>