Table 2. AICM estimates for the fit of different discrete trait models.
Joint Discrete trait models | AICMb | S.E.c | Mod1d | Mod2 | Mod3 | Mod4 | Mod5 | Mod6 | Mod7 | Mod8 |
Mod1 Reduce_BSSVS_sym a | 111031 | +/−7.5 | − | 107 | 490 | 712 | 863 | 1102 | 4084 | 6582 |
Mod2 Reduce_nonBSSVS_sym | 111137 | +/−9.449 | −107 | − | 384 | 605 | 756 | 995 | 3977 | 6475 |
Mod3 Reduce_BSSVS_asym | 111521 | +/−11.798 | −490 | −384 | − | 221 | 372 | 611 | 3593 | 6091 |
Mod4 Reduce_nonBSSVS_asym | 111742 | +/−7.822 | −712 | −605 | −221 | − | 151 | 390 | 3372 | 5870 |
Mod5 Original_BSSVS_sym | 111893 | +/−6.668 | −863 | −756 | −372 | −151 | − | 239 | 3221 | 5719 |
Mod6 Original_nonBSSVS_sym | 112132 | +/−13.455 | −1102 | −995 | −611 | −390 | −239 | − | 2982 | 5480 |
Mod7 Original_BSSVS_asym | 115115 | +/−14.662 | −4084 | −3977 | −3593 | −3372 | −3221 | −2982 | − | 2498 |
Mod8 Original_nonBSSVS_asym | 117612 | +/−26.584 | −6582 | −6475 | −6091 | −5870 | −5719 | −5480 | −2498 | − |
The names of the 8 models (Mod1-8) in the comparison test.
The 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.
The standard error of the AICM estimated using 1000 bootstrap replicates.
The 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.