Table 5.
Data set | Models | P-value | Conf. interval | ||
---|---|---|---|---|---|
ML score | Parameters | Lower | Upper | ||
Buckley | GTR+ | GTR+ | 0.241 | 0.215 | 0.269 |
Buckley | GTR+ | CAT | 0.013* | 0.007 | 0.022 |
Dunn | GTR+I+ | GTR+I+ | <0.01** | <0.01 | 0.036 |
Dunn | GTR+I+ | CAT | 0.080 | 0.035 | 0.152 |
Edwards | GTR+I+ | GTR+I+ | <0.01** | <0.01 | 0.036 |
Edwards | GTR+I+ | CAT | <0.01** | <0.01 | 0.036 |
Sullivan | GTR+I+ | GTR+I+ | 0.290 | 0.204 | 0.389 |
Sullivan | GTR+I+ | CAT | 0.030* | 0.006 | 0.085 |
Liu | GTR+I+ | GTR+I+ | <0.01** | <0.01 | 0.036 |
Liu | GTR+I+ | CAT | <0.01** | <0.01 | 0.036 |
Wang | GTR+G | GTR+G | 0.026* | 0.014 | 0.044 |
Wang | GTR+G | CAT | 0.020* | 0.010 | 0.036 |
Notes: Model 1 and Model 2 are the same as described in Table 4. Using a model for simulation with a greater number of parameters free to vary, such as the CAT model of PhyloBayes, did not result in universally larger values and therefore a more conservative test, though this was true for one data set, Dunn. The outcome of two other tests also differed, for Buckley and Sullivan, but the result was a more liberal test. * indicates p-values less than 0.05; ** indicates less than 0.01.