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The CI was calculated using a likelihood interpretation (see Materials and Methods) of the cost function residual analogous to the method used in Multidivtime [31].
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The spatial smoothing parameter for rate estimation is optimized using a likelihood comparison approach.
Linearity was assessed using a likelihood ratio test.
Model likelihood scores were compared using a likelihood ratio test.
Model likelihoods were compared using a Likelihood Ratio Test (LRT) to determine the best-fit model.
This was tested using a likelihood ratio test.
Specific hypotheses were evaluated using a likelihood ratio test.
PhyML uses a likelihood-based tree-searching algorithm to find an optimal phylogeny.
All models were fit using a Gaussian likelihood.
Both models were optimized by evolutionary computation, using a maximum likelihood estimator.
Path model analyses were conducted using a maximum likelihood estimator.
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