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  • JMP Security Notice: CVE-2026-109618 and CVE-2026-109619

    JMP promptly initiated a review of its products, services, and relevant infrastructure for exposure to CVE-2026-109618 and CVE-2026-109619.

    Our assessment of JMP products has not identified exposure to these vulnerabilities. Where remediation was required within supporting environments, appropriate security updates and controls have been applied and validated.

    We have identified no evidence of successful exploitation or unauthorized access to JMP systems or customer information associated with these vulnerabilities.

    JMP continues to monitor the issue and relevant vendor guidance. No action is required by JMP customers at this time.

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  • Graph Builder Toolbar streamlines interactive graphing. Creates shortcuts on Report and GraphBuilder Helpers toolbars. Download and install the extension.

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shoffmeister
shoffmeister
Level V

Mixed Models with JMP: Can I see the Covariance Matrix

Mar 17, 2016 05:06 AM (4177 views)

Dear JMPers! Hope you all enjoy Amsterdam. Too sad I could not come to ask you personally.

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 :\

Thanks for any help on that.

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jiancao
Staff jiancao
Staff

Re: Mixed Models with JMP: Can I see the Covariance Matrix

Mar 18, 2016 12:12 PM (4020 views)  |  Posted in reply to message from shoffmeister 03-17-2016

Yes, you can. Here is my JMP blog post showing fitting three different covariance structures with JMP Pro's Mixed Model personality: Unstructured, AR(1) and CS. JMP Pro for linear mixed models — Part 2

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