Table 1.
H1/H0a | Constant strict | Constant relaxed | Exponential strict | BSP strict | BSP relaxed |
---|---|---|---|---|---|
Constant strict | — | −7.706 | −33.314 | −52.84 | −52.431 |
Constant relaxed | 7.706 | — | −25.609 | −45.135 | −44.725 |
Exponential strict | 33.314 | 25.609 | — | −19.526 | −19.116 |
BSP strict | 52.840 | 45.135 | 19.526 | — | 0.410 |
BSP relaxed | 52.431 | 44.725 | 19.116 | −0.410 | — |
Bayes factors were estimated by comparing marginal likelihoods of the different evolutionary models (Tracer v1.5.0). The H0 (null) models are in the row while the H1 (alternative) models are in the columns. Evidence against H0 was assessed in the following way: 0–6 indicates positive evidence for H1, and X>6 indicates strong evidence. The relaxed exponential, relaxed logistic, and strict logistic were not included, because the ESS was X<150. The BSP model fitted the data set better than constant, exponential, and logistic.
BSP, Bayesian Skyline Plot.