Table 4.
Model output and probability for different migration models inferred through migrate-n
| Model | Bezier | Harmonic | Log Bayes factor | Rank | Model probability |
|---|---|---|---|---|---|
| 3pop_downall (B) | −13 379 | −6588.7 | 0 | 1 | 0.99999 |
| 3pop_upstream (C) | −13 392 | −6147.7 | −13.660 | 2 | <0.001 |
| 3pop_unrestrict (A) | −13 444 | −6496.0 | −64.740 | 3 | <0.001 |
| 2pop_unrestrict (D) | −13 764 | −6704.8 | −385.17 | 4 | <0.001 |
| 2pop_down (E) | −13 776 | −6790.5 | −397.26 | 5 | <0.001 |
Probability was calculated as outlined in Beerli and Palczewski (2010). Shaded row is model used to calculate the log bayes factor as described in Beerli and Palczewski (2010) as well. Letters correspond to model letters in Figure 4.