AICM estimates for the fit of different discrete trait models.

aThe names of the 8 models (Mod1-8) in the comparison test.bThe estimated AICM score of the posterior: lower values of marginal likelihood indicate a better fit to the data. The model with the best performance is indicated in bold.cThe standard error of the AICM estimated using 1000 bootstrap replicates.dThe AICM comparisons are shown in the matrix composed of columns 4 to 11. In each row of the matrix, the positive value in a cell represents the support for one model (in column 1) over the other (indicated in the column titles). A difference of AICM = 10 is considered to indicate a strong preference for one model over another.AICM estimates for the fit of different discrete trait models.