How does one obtain the covariance matrix for the fixed effects from fitting a mixed effect model using fitlme or fitlmematrix?
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Is there a way to easily obtain the covariance matrix for the fixed effects estimates from a linear mixed effects model fit by fitlme or fitlmematrix?
I'm fitting the linear mixed effects model
lme= fitlme(tbl,['SpO2~SaO2*ITA+ (SaO2|Subj)'])
I would like to get the covariance matrix for the estimates of fixed effects SaO2*ITA. Is there a way to det?
Matlab gives you the covariance matrix for the random effects via psi = covarianceParameters(lme), but I don't want to think about how to use it to compute the covariance matrix for the fixed effects. The function p = coefTest(lme,H,C) must compute the fixed effects covariance matrix when it tests the contrast H in the fixed effects at hypothesized value C, but does not have a name-value argument that would provide the fixed effects covariance matrix.
Thanks for any help you can give.
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the cyclist
2025-4-18
lme.CoefficientCovariance
This is cited in the documentation I linked. It is the second property in the list.
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