Table 4.

Parameter Estimates for the Best Trees Under Four Sets of Modeling Assumptions

Parameter Model 1 Model 2 Model 3 Model 4
α0.155 ± 0.0160.125 ± 0.0150.051 ± 0.013
β0.174 ± 0.0190.200 ± 0.0210.217 ± 0.023
γ0.084 ± 0.0070.071 ± 0.0070.078 ± 0.009
δ0.080 ± 0.0070.092 ± 0.0090.060 ± 0.009
ε0.174 ± 0.018
κ0.107 ± 0.0090.083 ± 0.0080.117 ± 0.013
λ0.067 ± 0.0060.086 ± 0.0080.078 ± 0.009
ς0.134 ± 0.025
u 0.333 ± 0.023
κ0.464 ± 0.077
π A 0.233 ± 0.0130.202 ± 0.0120.193 ± 0.012
π G 0.316 ± 0.0140.362 ± 0.0150.373 ± 0.015
π C 0.245 ± 0.0130.290 ± 0.0140.297 ± 0.015
π T 0.206 ± 0.0120.141 ± 0.0110.137 ± 0.011
Branch 11 ± 01 ± 01 ± 01 ± 0
Branch 20.232 ± 0.0470.234 ± 0.047.0010.110 ± 0.044
Branch 30.538 ± 0.0650.539 ± 0.0650.544 ± 0.0650.568 ± 0.065
Branch 41.650 ± 0.1541.642 ± 0.1531.671 ± 0.1551.690 ± 0.154
Branch 50.194 ± 0.0520.188 ± 0.0510.196 ± 0.0510.190 ± 0.050
Branch 60.215 ± 0.0460.082 ± 0.050
Best treetopology Etopology Etree 5tree 5
Iterations11111111
Max log likelihood−4606.6−4598.2−4555.7−4536.2
χ2(df)140.8 (7)124.0 (6)39.0 (2)