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An added advantage of these OU model fitting approaches is that they allow proper multivariate models rather than fitting variables one at a time [ 55].
Comparative datasets contain a wealth of information about the evolutionary process that is only partially tapped with traditional model fitting approaches.
Previous analyses have also shown that traditional model fitting approaches may be limited in their power to characterize adaptive processes in trait evolution [ 39].
In conventional ML model fitting approaches, the heritability is constrained to lie between zero and the MZ twin correlation.
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This motivates a local parametric rather than a global fixed model fitting approach.
The relative contribution of genetic and environmental factors to variation in the LFT proteins was assessed and quantified using a variance components model fitting approach.
The constant rates test [ 54], tree deviation [ 55], and model fitting approach of Rabosky [ 56] were applied to the MCC gene trees for Cyt b and Rag1, and also across all post burn-in trees from the BEAST analysis.
Whereas in both cases there were some small changes in path weights in the final models, paths from earlier reading to later intelligence remained significant and model fit was similar, indicating that our primary result was robust to a variety of model-fitting approaches.
The best fitting parameter value ν is determined through the model-fitting approaches described below.
When using these tasks within genetic designs, we aim to use multivariate genetic model-fitting approaches.
This contradicts the conclusions of previous research based on model-fitting approaches concerning the existence of a threshold size for DNA slippage.
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