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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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blip555555
blip555555
Level II

R^2 value standard least square with random effects

Apr 23, 2025 11:25 AM (1236 views)

Good afternoon, 

I was wondering when fitting a mixed model using standard least squares and adding random effects as attributes, is the R-squared reported an R-squared accounting for fixed and random effects? 

Thank you!

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2 REPLIES 2
statman
Super User statman
Super User

Re: R^2 value standard least square with random effects

Apr 23, 2025 11:33 AM (1233 views)  |  Posted in reply to message from blip555555 04-23-2025

R-square is the amount of the total variation in the study explained by the model. 

"All models are wrong, some are useful" G.E.P. Box
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MRB3855
Super User MRB3855
Super User

Re: R^2 value standard least square with random effects

Apr 23, 2025 12:26 PM (1227 views)  |  Posted in reply to message from blip555555 04-23-2025

Hi @blip555555 : To see what JMP reports in this situation, run the model twice; once with the factors' attributes set to random, and once leaving the factors as fixed effects. You will then know the answer to your question; if the R^2 are the same, "yes". Otherwise, "no".

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