<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Proc MI: Iteration limit in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-Iteration-limit/m-p/23514#M805</link>
    <description>The failure to converge indicates a relatively flat response surface.&lt;BR /&gt;
&lt;BR /&gt;
I've not used PROC MI, but have used the underlying EM algorithm on a flat surface and gotten this problem.  There may not be a solution beyond re-programming using another search algorithm (I ended up with Newton-Raphson; it's much more "brute force", but will converge to a proper answer with a fine enough grid.).&lt;BR /&gt;
&lt;BR /&gt;
I'd be interested to here if there are other approaches that allow a solution within MI.&lt;BR /&gt;
&lt;BR /&gt;
Doc Muhlbaier&lt;BR /&gt;
Duke</description>
    <pubDate>Mon, 27 Apr 2009 12:31:06 GMT</pubDate>
    <dc:creator>Doc_Duke</dc:creator>
    <dc:date>2009-04-27T12:31:06Z</dc:date>
    <item>
      <title>Proc MI: Iteration limit</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-Iteration-limit/m-p/23513#M804</link>
      <description>Hi,&lt;BR /&gt;
&lt;BR /&gt;
I'm trying to use proc MI to do a multiple imputation to replace missing data.  Some of the missing values are below a chemical limit of detection, so I need to use the maximum=L option.  My problem is that when I include all 9 of my variables in the imputation model, I receive a message that says:&lt;BR /&gt;
&lt;BR /&gt;
"ERROR: An imputed variable value is not in the specified range after 100000000 tries."&lt;BR /&gt;
&lt;BR /&gt;
I realize that I can increase the number of iterations used in the imputation by changing the value of minmaxiter=N, but there seems to be a limit to the number of iterations that Proc MI will use (~2E9), and if my minmaxiter value is too high, I get another error message:&lt;BR /&gt;
&lt;BR /&gt;
"ERROR: Invalid Operation.&lt;BR /&gt;
ERROR: Termination due to Floating Point Exception"&lt;BR /&gt;
&lt;BR /&gt;
Does anyone know how to increase the maximum minmaxiter value?  Or does anyone have any other suggestions for using proc MI to circumvent this problem?&lt;BR /&gt;
&lt;BR /&gt;
Thanks,&lt;BR /&gt;
Todd</description>
      <pubDate>Fri, 24 Apr 2009 20:48:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-Iteration-limit/m-p/23513#M804</guid>
      <dc:creator>ToddW</dc:creator>
      <dc:date>2009-04-24T20:48:51Z</dc:date>
    </item>
    <item>
      <title>Re: Proc MI: Iteration limit</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-Iteration-limit/m-p/23514#M805</link>
      <description>The failure to converge indicates a relatively flat response surface.&lt;BR /&gt;
&lt;BR /&gt;
I've not used PROC MI, but have used the underlying EM algorithm on a flat surface and gotten this problem.  There may not be a solution beyond re-programming using another search algorithm (I ended up with Newton-Raphson; it's much more "brute force", but will converge to a proper answer with a fine enough grid.).&lt;BR /&gt;
&lt;BR /&gt;
I'd be interested to here if there are other approaches that allow a solution within MI.&lt;BR /&gt;
&lt;BR /&gt;
Doc Muhlbaier&lt;BR /&gt;
Duke</description>
      <pubDate>Mon, 27 Apr 2009 12:31:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-Iteration-limit/m-p/23514#M805</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2009-04-27T12:31:06Z</dc:date>
    </item>
  </channel>
</rss>

