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    <title>topic Re: Why Press and Scaled Estimates in Linear Mixed Model (REML) are missing? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Why-Press-and-Scaled-Estimates-in-Linear-Mixed-Model-REML-are/m-p/656415#M84544</link>
    <description>&lt;P&gt;Unfortunately, this is not an answer. But I am also interested in a marginal PRESS statistic for mixed models and also a margnial RSquared. If the random effect comes from a block effect, it is really interesting to see how much variance can be explained by the actual input parameters. I have models where the RSquared equals almost one but the variance explained by the random effect is very large and therefore my "actual" input parameters do not influence the output very much. And I want to quantify how much to investigate whether my model is suitable for predictions.&lt;/P&gt;&lt;P&gt;I think something like that could be implemented in JSL, but not really easy.&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/40915"&gt;@lazzybug&lt;/a&gt;&amp;nbsp;I would be glad to hear if you found an answer to your question!&lt;/P&gt;</description>
    <pubDate>Fri, 07 Jul 2023 08:11:10 GMT</pubDate>
    <dc:creator>Anja_W</dc:creator>
    <dc:date>2023-07-07T08:11:10Z</dc:date>
    <item>
      <title>Why Press and Scaled Estimates in Linear Mixed Model (REML) are missing?</title>
      <link>https://community.jmp.com/t5/Discussions/Why-Press-and-Scaled-Estimates-in-Linear-Mixed-Model-REML-are/m-p/640554#M83789</link>
      <description>&lt;P&gt;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/5358"&gt;@Mark_Bailey&lt;/a&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Do you know how to get press and scaled estimated for REML models with random blocks? Is it possible to use JMP JSL to calculate those values? Thank you so much.&lt;/P&gt;</description>
      <pubDate>Thu, 15 Jun 2023 23:02:47 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Why-Press-and-Scaled-Estimates-in-Linear-Mixed-Model-REML-are/m-p/640554#M83789</guid>
      <dc:creator>lazzybug</dc:creator>
      <dc:date>2023-06-15T23:02:47Z</dc:date>
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    <item>
      <title>Re: Why Press and Scaled Estimates in Linear Mixed Model (REML) are missing?</title>
      <link>https://community.jmp.com/t5/Discussions/Why-Press-and-Scaled-Estimates-in-Linear-Mixed-Model-REML-are/m-p/656415#M84544</link>
      <description>&lt;P&gt;Unfortunately, this is not an answer. But I am also interested in a marginal PRESS statistic for mixed models and also a margnial RSquared. If the random effect comes from a block effect, it is really interesting to see how much variance can be explained by the actual input parameters. I have models where the RSquared equals almost one but the variance explained by the random effect is very large and therefore my "actual" input parameters do not influence the output very much. And I want to quantify how much to investigate whether my model is suitable for predictions.&lt;/P&gt;&lt;P&gt;I think something like that could be implemented in JSL, but not really easy.&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/40915"&gt;@lazzybug&lt;/a&gt;&amp;nbsp;I would be glad to hear if you found an answer to your question!&lt;/P&gt;</description>
      <pubDate>Fri, 07 Jul 2023 08:11:10 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Why-Press-and-Scaled-Estimates-in-Linear-Mixed-Model-REML-are/m-p/656415#M84544</guid>
      <dc:creator>Anja_W</dc:creator>
      <dc:date>2023-07-07T08:11:10Z</dc:date>
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