<?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: Mixed Models with JMP: Can I see the Covariance Matrix in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Mixed-Models-with-JMP-Can-I-see-the-Covariance-Matrix/m-p/17517#M15974</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Yes, you can. Here is my JMP blog post showing fitting three different covariance structures with JMP Pro's Mixed Model personality: Unstructured&lt;STRONG&gt;,&lt;/STRONG&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt; &lt;/SPAN&gt; AR(1) and CS. &lt;A href="http://blogs.sas.com/content/jmp/2014/04/29/jmp-pro-for-linear-mixed-models-part-2/" title="http://blogs.sas.com/content/jmp/2014/04/29/jmp-pro-for-linear-mixed-models-part-2/"&gt;JMP Pro for linear mixed models — Part 2&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 18 Mar 2016 16:12:12 GMT</pubDate>
    <dc:creator>jiancao</dc:creator>
    <dc:date>2016-03-18T16:12:12Z</dc:date>
    <item>
      <title>Mixed Models with JMP: Can I see the Covariance Matrix</title>
      <link>https://community.jmp.com/t5/Discussions/Mixed-Models-with-JMP-Can-I-see-the-Covariance-Matrix/m-p/17516#M15973</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Dear JMPers! &lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;Hope you all enjoy Amsterdam. Too sad I could not come to ask you personally.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;When working with mixed models in JMP: Is there any chance to see the blocks of the estimated covariance matrix. I'm interested in what I get in SAS when using the G, R and especially V options in PROC MIXED. I like to have a look at that to make sure that I set up the model correctly and that the covariance structure makes sense. I'm well aware that I should be able to figure that out myself based on the covariance parameter estimates ... just I don't trust myself completely. Mixed models always feel so complicated :\&lt;/img&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks for any help on that.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 17 Mar 2016 09:06:35 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Mixed-Models-with-JMP-Can-I-see-the-Covariance-Matrix/m-p/17516#M15973</guid>
      <dc:creator>shoffmeister</dc:creator>
      <dc:date>2016-03-17T09:06:35Z</dc:date>
    </item>
    <item>
      <title>Re: Mixed Models with JMP: Can I see the Covariance Matrix</title>
      <link>https://community.jmp.com/t5/Discussions/Mixed-Models-with-JMP-Can-I-see-the-Covariance-Matrix/m-p/17517#M15974</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Yes, you can. Here is my JMP blog post showing fitting three different covariance structures with JMP Pro's Mixed Model personality: Unstructured&lt;STRONG&gt;,&lt;/STRONG&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt; &lt;/SPAN&gt; AR(1) and CS. &lt;A href="http://blogs.sas.com/content/jmp/2014/04/29/jmp-pro-for-linear-mixed-models-part-2/" title="http://blogs.sas.com/content/jmp/2014/04/29/jmp-pro-for-linear-mixed-models-part-2/"&gt;JMP Pro for linear mixed models — Part 2&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 18 Mar 2016 16:12:12 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Mixed-Models-with-JMP-Can-I-see-the-Covariance-Matrix/m-p/17517#M15974</guid>
      <dc:creator>jiancao</dc:creator>
      <dc:date>2016-03-18T16:12:12Z</dc:date>
    </item>
  </channel>
</rss>

