Table 2.
Models Applied Using P4.
| Model | Number of GTR Rate Matrices | Number of Composition Vectors | Parameters |
|---|---|---|---|
| 1GTR + 1C + I + 4Γ | 1 | 1 | 12 |
| 2GTR + 1C + I + 4Γ | 2 | 1 | 18 |
| 3GTR + 1C + I + 4Γ | 3 | 1 | 24 |
| 4GTR + 1C + I + 4Γ | 4 | 1 | 30 |
| 5GTR + 1C + I + 4Γ | 5 | 1 | 36 |
| 6GTR + 1C + I + 4Γ | 6 | 1 | 42 |
| 1GTR + 2C + I + 4Γ | 1 | 2 | 16 |
| 1GTR + 3C + I + 4Γ | 1 | 3 | 20 |
| 1GTR + 4C + I + 4Γ | 1 | 4 | 24 |
| 1GTR + 5C + I + 4Γ | 1 | 5 | 28 |
| 1GTR + 6C + I + 4Γ | 1 | 6 | 32 |
| 1GTR + 7C + I + 4Γ | 1 | 7 | 36 |
| 2GTR + 5C + I + 4Γ | 2 | 5 | 34 |
| 3GTR + 5C + I + 4Γ | 3 | 5 | 40 |
| 4GTR + 5C + I + 4Γ | 4 | 5 | 46 |
Note.—The model codes used in this study; the number of GTR rate matrices applied to the data; the number of composition vectors estimated; and the number of free parameters estimated for each model. All parameters were free to vary. In all cases, the proportion of invariable sites (+I) = 0.3 and the gamma distributed associated rate variation (+Γ) = 0.7.