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    <title>topic Re: Proc Glimmix: Sparsity Option?? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/356047#M18668</link>
    <description>&lt;P&gt;For fitting a GLMM to large data sets, you might find the %hpglimmix macro helpful.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jstatsoft.org/article/view/v058i08" target="_blank"&gt;https://www.jstatsoft.org/article/view/v058i08&lt;/A&gt; &lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 04 May 2017 17:10:17 GMT</pubDate>
    <dc:creator>lvm</dc:creator>
    <dc:date>2017-05-04T17:10:17Z</dc:date>
    <item>
      <title>Proc Glimmix: Sparsity Option??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/354555#M18570</link>
      <description>&lt;P&gt;So, I reciently misspelled an option in the GLIMMIX statment...and it let me know all of the availible options it was expecting to see, and "Sparsity" is one of them.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Does anyone know what that option does?? I haven't found any information on it.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Fri, 28 Apr 2017 17:51:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/354555#M18570</guid>
      <dc:creator>lkeyes</dc:creator>
      <dc:date>2017-04-28T17:51:47Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Glimmix: Sparsity Option??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/354728#M18583</link>
      <description>&lt;P&gt;Procedures often have experimental options that aren't ready for the public, and are not described (they may show up in a production release). These are used by developers and beta testers.&lt;/P&gt;</description>
      <pubDate>Sat, 29 Apr 2017 17:13:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/354728#M18583</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2017-04-29T17:13:50Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Glimmix: Sparsity Option??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/356006#M18664</link>
      <description>&lt;P&gt;Thanks&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13758"&gt;@lvm&lt;/a&gt;! I figured that's what it was; however, was hoping to hear that it implemented technique simmilar to HPMIXED for large sparse datasets, given a GLMM... /le sigh.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks again!&lt;/P&gt;</description>
      <pubDate>Thu, 04 May 2017 15:25:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/356006#M18664</guid>
      <dc:creator>lkeyes</dc:creator>
      <dc:date>2017-05-04T15:25:35Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Glimmix: Sparsity Option??</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/356047#M18668</link>
      <description>&lt;P&gt;For fitting a GLMM to large data sets, you might find the %hpglimmix macro helpful.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jstatsoft.org/article/view/v058i08" target="_blank"&gt;https://www.jstatsoft.org/article/view/v058i08&lt;/A&gt; &lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 04 May 2017 17:10:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix-Sparsity-Option/m-p/356047#M18668</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2017-05-04T17:10:17Z</dc:date>
    </item>
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