The run was stopped when the standard deviation of split frequencies was below 0.01.
Convergence was assessed using the average standard deviation of split frequencies, output by MrBayes.
After all analyses, the average standard deviation of split frequencies was below 0.01.
The final average standard deviation of split frequencies at the end of the run was 0.036.
Additional generations were performed until the average standard deviation of split frequencies was less than 0.01.
Standard deviations of split frequencies of the two runs were monitored until they converged.
The average standard deviation split frequencies after 1,000,000 generations was 0.011.
Convergence was assessed by examining correlations of split frequencies among runs in AWTY [26].
Convergence was further assessed by monitoring the standard deviation in split frequencies between MCMCMC runs from different random starting trees.
[38], sampling every 100 generations for 7×106 generations with four chains (average standard deviation of split frequencies <0.01).
The run was considered as converged after the average standard deviation of split frequencies dropped below 0.01.
