Dear R users,

I am using model predictions from binomial GLMMs and Gaussian LMMs to run
GAMs to describe the change in several traits across ages. I can
back-transform the binomial model predictions, to rescale them for GAM
analysis, but then want to weight these predictions by the standard error
of the prediction (because less confidence is attached to older ages
because fewer individuals are measured). Because I have standard errors
from both Gaussian and binomial models, I feel the standard errors from the
binomial GLMMs should also be transformed back to the normal scale, but
cannot find information on the proper way to do this. I wonder if anyone
knows of a solution to this problem?

Best wishes,
Adam


-- 
Adam Hayward
Post-Doctoral Research Associate
Department of Animal and Plant Sciences
Alfred Denny Building
University of Sheffield
Western Bank
Sheffield S10 2TN
UK

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