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Then PAUP* was used to calculate the same likelihoods using the optimal model parameters estimated by GARLI.
Thus PAUP* was used to calculate likelihoods using the optimal model parameters estimated by RAxML for all of the tree topologies generated in RAxML and GARLI.
A tree constructed using the optimal model for this alignment (RtREV+I+G+F) agrees with the WAG tree.
Using the optimal model, we then accommodated topological uncertainty by removing the restriction of a fixed tree.
The most likely phylogeny for each dataset was produced in Garli 2.0 (Genetic Algorithm for Rapid Likelihood Inference) [ 115], using the optimal model of evolution for each partition.
Three components were retained using the optimal model determination by the leave-one-out cross validation procedure and the minimum PRESS criteria (van der Voet's test).
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Corrected pairwise divergences were calculated using the optimal models of nucleotide substitution determined by Modeltest for each gene separately.
Then we use the optimal model to predict the testing sets and the performances are evaluated with accuracy, AUC and Cohen's kappa.
We used the optimal model of sequence evolution (GTR+I+G) identified with the Akaike information criterion (AIC) as implemented in jMODELTEST 0.1.1 [ 80].
Our studies provide a distinctive perspective to select the optimal CPGA models of solid solution alloys containing SRO structure and design alloy using the optimal CPGA model.
The dynamic responses of the foundation soil system using the optimal equivalent model are compared with those obtained by the half-space theory and by the existing lumped-parameter models.
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