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The spatial smoothing parameter for rate estimation is optimized using a likelihood comparison approach.
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The Shimodara Hasegawa (SH) test allows for such comparison using a likelihood ratio test and enables us to show whether two proteins are indeed sharing strong phylogenetic signal.
We tested for significant differences in branch length for each comparison using a likelihood ratio test (LRT).
The best-fit model was determined using a likelihood ratio test for each model comparison, thus the likelihood of positive selection could be evaluated [ 70].
P-value for positive selection estimated using a likelihood ratio test based on the comparison of twice the log likelihood difference obtained with the M8 and M8a null model with a chi-square probability table of degree of freedom 1. BC1T, Botrytis cinerea B.05 genome; BcT4, Botrytis cinerea T4 genome; ND, not determined.
Comparison of the two models using a likelihood ratio test revealed that model M3 provided a significantly better fit to our data set.
to test whether the addition of parameters significantly improves the goodness of fit, comparisons between scores were performed using a likelihood ratio test (LRT).
Comparison among multiple groups was conducted using a likelihood ratio test for categorical variables and analysis of variance (ANOVA) for continuous variables.
Comparisons between age subgroups were made using a likelihood ratio 2 test.
Model likelihood scores were compared using a likelihood ratio test.
Then a likelihood comparison algorithm is designed to rank IVAIFVs.
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