Hi:

How do I obtain the variances (and covariances) for the fixed effects from an MCMCglmm object? In a frequentist setting I would simply use algebra to obtain it from the confidence intervals if it was not provided; however, I'm not sure if this is equivalent in Bayesian credible intervals. Is it as simple as:

coeff - 1.96*SE = lower 95% CI?

Or is it sd(model$Sol)[1:3]?

If you solve for SE in the equation above it is not equal to sd(model$Sol) (even after dividing by root n). Thanks for your help!

Best,

Katie Colborn







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