What kind of measure of the FIM do T optimal designs optimize?
I do not think this is documented currently?
The documentation PR exists but it fell through the cracks. Should be merged soon-ish.
T optimal design maximizes the trace of the expected information matrix. In the optimization, negative the trace is actually minimized instead.
So A optimal designs minimize the trace of the inverse of the FIM,
while T optimal designs maximize the trace of the FIM?
When you google “T optimal experimental design” most of the results are about optimal experimental design for model discrimination:
Correct. Sorry for the delayed response.