[R-sig-ME] Specifying bivariate priors with different distributions in MCMCglmm
Jarrod Hadfield
j@h@d||e|d @end|ng |rom ed@@c@uk
Thu Nov 9 09:00:54 CET 2023
Hi,
By specifying propfledged as “categorical” you are treating each unique value of propfledged as a categorical variable. My guesses that this is not your intention. Binomial models should be of the form cbind(number_successes, number_failures)~ with family=“multinomial2”. The priors should then ‘work’ in the sense that they are of the right dimension. However, you shouldn’t fix the residual variance unless the binomial only has 1 trial (i.e. is Bernoulli).
Cheers,
Jarrod
On 6 Nov 2023, at 13:00, Cones, Alexandra G. <alex.cones using uky.edu> wrote:
propfledged
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.
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